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infrastructureReviews4.5/5 ["Q-017 ]
operational costs reduction ["Q-018 There are as what a lot of benefits of using using virtualization such very minimum or negligible downtime more efficiency productivity responsivity and more ?"] "
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infrastructureReviews4.5/5 ["Q-029 ]
VMware vCenterAdminister vSphere infrastructureReviews4.5/5 ["Q-030 ]
The Ultimate VMware Mastery Bundle ["Q-01 Who get 94 % off Key Featuresvmware is a virtualization concept that is based on virtualizing or containerizing different types of operating systems in the form of cloud computing for easy access to resources ?"] "
KEY FEATURESVMware ["Q-02 Who is a virtualization concept that is based on virtualizing or containerizing different types of operating systems in the form of cloud computing for easy access to resources ?"] "
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4 ["Q-08 How much does this training bundle includes comprehensive online Vmware courses on Vmware virtualization and its concepts vsphere how to download and deploy Vmware vcenter and administer vsphere infrastructure ?"] "
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PST Buy ["Q-015 Who based Ultimate V N Mastery B N different types of operating systems in the form of cloud computing for easy access to resources ?"] "
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infrastructureReviews4.5/5 ["Q-017 ]
operational costs reduction ["Q-018 There are as what a lot of benefits of using using virtualization such very minimum or negligible downtime more efficiency productivity responsivity and more ?"] "
virtualization ["Q-019 There are what a lot of benefits of using using such as operational costs reduction very minimum or negligible downtime more efficiency productivity responsivity and more ?"] "
PST Buy ["Q-020 Who using virtualization such as operational costs reduction very minimum or negligible downtime more efficiency productivity responsivity and more ?"] "
virtualization conceptsLearn ["Q-021 ]
VMware virtualization ["Q-022 On what does this training bundle includes 4 comprehensive online Vmware courses and its concepts vsphere how to download and deploy Vmware vcenter and administer vsphere infrastructure ?"] "
operational costs reduction very minimum or negligible downtime more efficiency productivity responsivity and more. This training bundle includes 4 comprehensive online VMware courses on VMware virtualization and its concepts vSphere ["Q-023 What does this training bundle includes comprehensive online Vmware courses on Vmware virtualization and its concepts vsphere how to download and deploy Vmware vcenter and administer vsphere infrastructure ?"] "
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4 ["Q-026 How much does this training bundle includes comprehensive online Vmware courses on Vmware virtualization and its concepts vsphere how to download and deploy Vmware vcenter and administer vsphere infrastructure ?"] "
virtualization conceptsLearn how to download & deploy VMware vCenterAdminister vSphere infrastructureReviews4.5/5 ["Q-027 ]
concepts vSphere ["Q-028 Access 4 courses & 26 + hours of content 24/7obtain essential skills such as Vmware Virtualization vcenter vsphere Virtual Machines & Moreunderstand basic virtualization conceptslearn how to download what N vsphere infrastructurereviews4 ?"] "
infrastructureReviews4.5/5 ["Q-029 ]
VMware vCenterAdminister vSphere infrastructureReviews4.5/5 ["Q-030 ]
REAL web ["Q-01 Who get 94 % off Key Featureshave i been tasked by my company to figure out how to make software and business projects work more smoothly ? in this course you ll learn how to master Jira Agile cloud software to help i streamline my projects while turning yourself into a project management professional ! Whether you re new to Jira or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course will provide i the strategic and tactical essentials to get the most out of my Jira Agile projects using a real web design example project while saving i tons of time during the learning"
94% off KEY FEATURESHave ["Q-02 Who been tasked by my company to figure out how to make software and business projects work more smoothly ? in this course you ll learn how to master Jira Agile cloud software to help i streamline my projects while turning yourself into a project management professional ! Whether you re new to Jira or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course will provide i the strategic and tactical essentials to get the most out of my Jira Agile projects using a real web design example project while saving i tons of time during th
your company ["Q-03 Who work more smoothly ? in this course you ll learn how to master Jira Agile cloud software to help i streamline my projects while turning yourself into a project management professional ! Whether you re new to Jira or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course will provide i the strategic and tactical essentials to get the most out of my Jira Agile projects using a real web design example project while saving i tons of time during the learning process ?"] "
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Agile Certified Scrum Master product owner or software developer ["Q-06 Who will provide i the strategic and tactical essentials to get the most out of my Jira Agile projects using a real web design example project while saving i tons of time during the learning process ?"] "
JIRA Agile projects ["Q-07 Who using a real web design example project while saving i tons of time during the learning process ?"] "
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Access 37 lectures & 1 hour of content 24/7Learn how to configure & customize board components swimlanes columns and layouts to help your team visualize work in progress w/ easeUnderstand the key differences between Epics Stories Sub-Tasks & BugsLeverage burndown control & cumulative flow charts for reportingCreate & understand the key differences between JIRA Scrum and Kanban boardsUnderstand the JIRA issue workflow & how to create issuesPRODUCT ["Q-09 Who customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand the key differences between Jira Scrum and Kanban boardsunderstand t D Jira issue"
issuesPRODUCT SPECSImportant DetailsLength of time users can access this course lifetimeAccess options web & mobile streamingCertification of completion includedRedemption deadline redeem your code within 30 days of purchaseUpdates includedExperience level required beginnerRequirementsBasic understanding of Agile terminology & conceptsAccess to JIRA server or JIRA cloud (preferred)THE EXPERTInstructorDanny Liu ["Q-10 Who can access this course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of purchaseupdates includedexperience level required beginnerrequirementsbasic understanding of Agile terminology & conceptsaccess to Jira server or Jira cloud ( preferred ) the Expertinstructordanny Liu is an Agile Release Manager a C
preferred)THE EXPERTInstructorDanny Liu ["Q-11 Who web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of purchaseupdates includedexperience level required beginnerrequirementsbasic understanding of Agile terminology & conceptsaccess to Jira server or Jira cloud ( preferred ) the Expertinstructordanny Liu is an Agile Release Manager a C a Cspo / csm & Digital Product Creator ?"] "
includedRedemption deadline ["Q-12 Who redeem my code within 30 days of purchaseupdates includedexperience level required beginnerrequirementsbasic understanding of Agile terminology & conceptsaccess to Jira server or Jira cloud ( preferred ) the Expertinstructordanny Liu is an Agile Release Manager a C a Cspo / csm & Digital Product Creator ?"] "
purchaseUpdates includedExperience level ["Q-13 Who required beginnerrequirementsbasic understanding of Agile terminology & conceptsaccess to Jira server or Jira cloud ( preferred ) the Expertinstructordanny Liu is an Agile Release Manager a C a Cspo / csm & Digital Product Creator ?"] "
Liu ["Q-14 Who is an Agile Release Manager a C a Cspo / csm & Digital Product Creator ?"] "
Danny ["Q-15 Who has led high - performance teams ranging from technology infrastructure engineering design & support to modern - day cloud computing and web development teams that leverage Devops and Ci / cd approaches to deliver digital products early and often ?"] "
Danny ["Q-16 Who ranging from technology infrastructure engineering design & support to modern - day cloud computing and web development teams that leverage Devops and Ci / cd approaches to deliver digital products early and often ?"] "
your projects ["Q-01 The Complete Jira Agile Project Management Course for Expires October 23 2119 2359 Pst Buy now and get 94 % off Key Featureshave i been tasked by my company to figure out how to make software and business projects work more smoothly ? in this course you ll learn how to master Jira Agile cloud software to help i streamline to what my projects while turning turning yourself into a project management professional ! Whether you re new or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course will provide i the strategic and tactical essentials to get the most out of my Jira"
REAL web design ["Q-02 The Complete Jira Agile Project Management Course for Expires October 23 2119 2359 Pst Buy now off what do and get 94 % by my company to figure out how to make software and business projects work more smoothly ? in this course you ll learn how to master Jira Agile cloud software to help i streamline my projects while turning yourself into a project management professional ! Whether you re new to Jira or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course will provide i the strategic and tactical essentials to get the most out of my Jira Agile projects using a rea
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REAL web design ["Q-04 The Complete Jira Agile Project Management Course for Expires October 23 2119 2359 Pst Buy now and get 94 % off Key Featureshave i been tasked by my company to figure out how to make in what software and business projects work more smoothly ? learn how to master Jira Agile cloud software to help i streamline my projects while turning yourself into a project management professional ! Whether you re new to Jira or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course will provide i the strategic and tactical essentials to get the most out of my Jira Agile projects using"
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a project management professional ["Q-06 The Complete Jira Agile Project Management Course for Expires October 23 2119 2359 Pst Buy now and get 94 % off Key Featureshave i been tasked by my company to figure out how to make software and business projects work more smoothly ? in this course you ll learn how to master Jira Agile cloud software to help i streamline into what my projects while turning turning yourself professional ! Whether you re new to Jira or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course will provide i the strategic and tactical essentials to get the most out of my Jira"
JIRA or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course will provide you the strategic and tactical essentials to get the most out of your JIRA Agile projects using a REAL web design ["Q-07 The Complete Jira Agile Project Management Course for Expires October 23 2119 2359 Pst Buy now and get 94 % off Key Featureshave i been tasked by my company to figure out how to make software and business projects work more smoothly ? in this course you ll learn how to master Jira Agile cloud software to help i streamline my projects while turning yourself into a project management professional ! Whether you re new to out what will Jira or Agile methodologies an Agile"
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REAL ["Q-010 The Complete Jira Agile Project Management Course for Expires October 23 2119 2359 Pst Buy now and get 94 % off Key Featureshave i been tasked by my company to figure out how to make software and business projects work more smoothly ? in this course you ll learn how to master Jira Agile cloud software to help i streamline my projects while turning yourself into a project management professional ! Whether you re new to Jira or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course will provide i the strategic and tactical essentials to get the most out of my Jira Agile project
REAL web design ["Q-011 The Complete Jira Agile Project Management Course for Expires October 23 2119 2359 Pst Buy now what do and get off Key Featureshave i been tasked by my company to figure out how to make software and business projects work more smoothly ? in this course you ll learn how to master Jira Agile cloud software to help i streamline my projects while turning yourself into a project management professional ! Whether you re new to Jira or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course will provide i the strategic and tactical essentials to get the most out of my Jira Ag
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REAL web design ["Q-013 The Complete Jira Agile Project Management Course for Expires October 23 2119 2359 Pst Buy now and get 94 what been % off Key Featureshave i been tasked tasked by my company to figure out how to m N and business projects work more smoothly ? in this course you ll learn how to master Jira Agile cloud software to help i streamline my projects while turning yourself into a project management professional ! Whether you re new to Jira or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course will provide i the strategic and tactical essentials to get the most out of my"
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your projects ["Q-016 The Complete Jira Agile Project Management Course for Expires October 23 2119 2359 Pst Buy now and get 94 % off Key Featureshave i been tasked by my company to figure out how to make software and business projects work more smoothly ? in this course you ll learn how to master Jira Agile cloud software to help what i streamline while turning yourself into a project management professional ! Whether you re new to Jira or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course will provide i the strategic and tactical essentials to get the most out of my Jira Agile projects
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a REAL web design ["Q-020 The Complete Jira Agile Project Management Course for Expires October 23 2119 2359 Pst Buy now and get 94 % off Key Featureshave i been tasked by my company to figure out how to make software and business projects work more smoothly ? in this course you ll learn how to master Jira Agile cloud software to help i streamline my projects while turning yourself into a project management professional ! Whether you re new to Jira or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course will provide i the strategic and tactical essentials to get the most what out of my Jir
REAL web ["Q-021 The Complete Jira Agile Project Management Course for Expires October 23 2119 2359 Pst Buy now and get 94 % off Key Featureshave i been tasked by my company to figure out how to make software and business projects work more smoothly ? in this course you ll learn how to master Jira Agile cloud software to help i streamline my projects while turning yourself into a project management professional ! Whether you re new to Jira or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course will provide i the strategic and tactical essentials to get the most out of my Jira Agile pro
REAL web ["Q-022 The Complete Jira Agile Project Management Course for Expires October 23 2119 2359 Pst Buy now and get 94 % off Key Featureshave i been tasked by my company to figure out how to make software and business projects work more smoothly ? in this course you ll learn how to master Jira Agile cloud software to help i streamline my projects while turning yourself into a project management professional ! Whether you re new to Jira or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course will provide i the strategic and tactical essentials to get the most out of whose Jira Agile
REAL web design ["Q-023 Who get 94 % off Key Featureshave i been tasked by my company to figure out how to make software and business projects work more smoothly ? in this course you ll learn how to master Jira Agile cloud software to help i streamline my projects while turning yourself into a project management professional ! Whether you re new to Jira or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course will provide i the strategic and tactical essentials to get the most out of my Jira Agile projects using a real web design example project while saving i tons of time during the lea
94% off KEY FEATURESHave ["Q-024 Who been tasked by my company to figure out how to make software and business projects work more smoothly ? in this course you ll learn how to master Jira Agile cloud software to help i streamline my projects while turning yourself into a project management professional ! Whether you re new to Jira or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course will provide i the strategic and tactical essentials to get the most out of my Jira Agile projects using a real web design example project while saving i tons of time during t
your company to figure out how to make software and business projects ["Q-025 Who work more smoothly ? in this course you ll learn how to master Jira Agile cloud software to help i streamline my projects while turning yourself into a project management professional ! Whether you re new to Jira or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course will provide i the strategic and tactical essentials to get the most out of my Jira Agile projects using a real web design example project while saving i tons of time during the learning process ?"] "
REAL web ["Q-026 Who streamline my projects while turning yourself into a project management professional ! Whether you re new to Jira or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course will provide i the strategic and tactical essentials to get the most out of my Jira Agile projects using a real web design example project while saving i tons of time during the learning process ?"] "
REAL web ["Q-027 Who turning yourself into a project management professional ! Whether you re new to Jira or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course will provide i the strategic and tactical essentials to get the most out of my Jira Agile projects using a real web design example project while saving i tons of time during the learning process ?"] "
Agile Certified Scrum Master product owner or software developer ["Q-028 Who will provide i the strategic and tactical essentials to get the most out of my Jira Agile projects using a real web design example project while saving i tons of time during the learning process ?"] "
JIRA Agile projects ["Q-029 Who using a real web design example project while saving i tons of time during the learning process ?"] "
Agile Certified Scrum Master product owner or software developer ["Q-030 Who saving i tons of time during the learning process ?"] "
PST Buy now and get 94% off KEY FEATURESHave ["Q-031 ]
issuesPRODUCT ["Q-032 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of pu
issuesPRODUCT ["Q-033 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns to help my team visualize work in progress w/ easeunderstand key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of purchaseupdates incl
issuesPRODUCT ["Q-034 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of purchaseupdates incl
issuesPRODUCT ["Q-035 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of purchaseupdates incl
issuesPRODUCT ["Q-036 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of purchaseupdates incl
issuesPRODUCT ["Q-037 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of pu
issuesPRODUCT ["Q-038 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days"
issuesPRODUCT ["Q-039 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days"
issuesPRODUCT ["Q-040 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of pu
issuesPRODUCT ["Q-041 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns in what to help my team visualize work easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of purchaseupdates incl
issuesPRODUCT ["Q-042 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns to help my team visualize work in progress w/ easeunderstand key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of purchaseupdates incl
columns and layouts ["Q-043 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns between what to help my team visualize work in progress w/ easeunderstand t D key differences & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of purchaseupdates includedexperience"
issuesPRODUCT ["Q-044 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns burndown what to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of purchaseupdates"
issuesPRODUCT ["Q-045 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns for what to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of purchaseupdates inclu
issuesPRODUCT ["Q-046 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of purchaseupdates incl
issuesPRODUCT ["Q-047 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns between what to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of purchaseupdates inc
issuesPRODUCT ["Q-048 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of purchaseupdates incl
issuesPRODUCT ["Q-049 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of purchaseupdates incl
columns and layouts ["Q-050 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns of what to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of purchaseupdates"
issuesPRODUCT ["Q-051 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of pu
deadline ["Q-052 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t of what D course lifetimeaccess options web & mobile streamingcertification redeem my code within 30 days of purchaseupdates includedexperience
30 days ["Q-053 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & within what mobile streamingcertification of completion includedredemption deadline redeem my code of purc
issuesPRODUCT ["Q-054 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & of what mobile streamingcertification of completion includedredemption deadline redeem my code within"
issuesPRODUCT ["Q-055 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days"
issuesPRODUCT ["Q-056 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days"
& customize board components swimlanes columns and layouts to help your team visualize work in progress w/ easeUnderstand the key differences between Epics Stories Sub-Tasks & BugsLeverage burndown control & cumulative flow charts for reportingCreate & understand the key differences between JIRA Scrum and Kanban boardsUnderstand the JIRA issue workflow & how to create issuesPRODUCT ["Q-057 Access 37 lectures & 1 hour of content 24/7learn how to configure what & customize a C layouts to help my team visualize work in progress w/ easeunderstand the key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand the key differences between Jira Scrum a C Kanban boardsunderstand the Jira issue workfl
issuesPRODUCT ["Q-058 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a a D D D layouts to help my team visualize work in progress w/ easeunderstand the key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand the key differences between Jira Scrum a C Kanban boardsunderstand the Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access this course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 da
issuesPRODUCT ["Q-059 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns what to help in progress w/ easeunderstand the key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand the key differences between Jira Scrum a C Kanban boardsunderstand the Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access this course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of purchaseupdates includedexperience level r
issuesPRODUCT ["Q-060 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns what to help my team visualize work in progress w/ easeunderstand between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand the key differences between Jira Scrum a C Kanban boardsunderstand the Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access this course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of purchaseupdates includedexperience leve
issuesPRODUCT ["Q-061 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help what the key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand between Jira Scrum a C Kanban boardsunderstand the Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access this course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of purchaseupdates includedexperience level required beginnerrequirementsbasic understand
issuesPRODUCT ["Q-062 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand the key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand the key differences between Jira Scrum a a D D D Kanban boardsunderstand the Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access this course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 da
issuesPRODUCT ["Q-063 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand the key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & what the key differences between Jira Scrum a C Kanban boardsunderstand & how to create issuesproduct Specsimportant Detailslength of time users can access this course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of purchaseupdates includedexperience level required beginnerrequirementsbasic understanding
issuesPRODUCT ["Q-064 Access 37 lectures & 1 hour of c N 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand the key differences between Epics Stories Sub - tasks & Bugsleverage burndown c N & cumulative flow charts for reportingcreate & understand what the Jira issue workflow & how to c N of time users can access this course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of purchaseupdates includedexperience level required beginnerrequirementsbasic understanding of Agile terminology & con
issuesPRODUCT ["Q-065 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand the key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create what issuesproduct specsimportant Detailslength of time users can web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of purchaseupdates includedexperience level
issuesPRODUCT ["Q-066 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand the key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access this course lifetimeaccess options web & what mobile streamingcertification of completion includedredemption deadline redeem within 30 days of pur
30 days ["Q-067 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand the key differences between Jira Scrum a C Kanban boardsunderstand t D Jira you N workflow & how to create issuesproduct Specsimportant Detailslength of time users can access this course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 what days"
issuesPRODUCT ["Q-068 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand the key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access this course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of"
issuesPRODUCT ["Q-069 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand the key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access this course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of"
issuesPRODUCT ["Q-070 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns whose layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days"
issuesPRODUCT ["Q-071 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand whose key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days"
issuesPRODUCT ["Q-072 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand whose key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days"
issuesPRODUCT ["Q-073 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum whose Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days"
issuesPRODUCT ["Q-074 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand whose Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days"
issuesPRODUCT ["Q-075 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access whose course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days"
issuesPRODUCT ["Q-076 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days"
Access 37 lectures & 1 hour of content 24/7Learn how to configure & customize board components swimlanes columns and layouts to help your team visualize work in progress w/ easeUnderstand the key differences between Epics Stories Sub-Tasks & BugsLeverage burndown control & cumulative flow charts for reportingCreate & understand the key differences between JIRA Scrum and Kanban boardsUnderstand the JIRA issue workflow & how to create issuesPRODUCT ["Q-077 Who customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand the key differences between Jira Scrum and Kanban boardsunderstand t D Jira issue"
issuesPRODUCT SPECSImportant DetailsLength of time users can access this course lifetimeAccess options web & mobile streamingCertification of completion includedRedemption deadline redeem your code within 30 days of purchaseUpdates includedExperience level required beginnerRequirementsBasic understanding of Agile terminology & conceptsAccess to JIRA server or JIRA cloud (preferred)THE EXPERTInstructorDanny Liu ["Q-078 Who can access this course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of purchaseupdates includedexperience level required beginnerrequirementsbasic understanding of Agile terminology & conceptsaccess to Jira server or Jira cloud ( preferred ) the Expertinstructordanny Liu is an Agile Release Manager a
preferred)THE EXPERTInstructorDanny Liu ["Q-079 Who web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of purchaseupdates includedexperience level required beginnerrequirementsbasic understanding of Agile terminology & conceptsaccess to Jira server or Jira cloud ( preferred ) the Expertinstructordanny Liu is an Agile Release Manager a C a Cspo / csm & Digital Product Creator ?"] "
includedRedemption deadline ["Q-080 Who redeem my code within 30 days of purchaseupdates includedexperience level required beginnerrequirementsbasic understanding of Agile terminology & conceptsaccess to Jira server or Jira cloud ( preferred ) the Expertinstructordanny Liu is an Agile Release Manager a C a Cspo / csm & Digital Product Creator ?"] "
purchaseUpdates includedExperience level ["Q-081 Who required beginnerrequirementsbasic understanding of Agile terminology & conceptsaccess to Jira server or Jira cloud ( preferred ) the Expertinstructordanny Liu is an Agile Release Manager a C a Cspo / csm & Digital Product Creator ?"] "
preferred)THE EXPERTInstructorDanny Liu ["Q-082 Who is an Agile Release Manager a C a Cspo / csm & Digital Product Creator ?"] "
issuesPRODUCT ["Q-083 Access 37 lectures & 1 hour of content 24/7learn how to configure a how much & customize board components swimlanes columns layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30
issuesPRODUCT ["Q-084 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns t how much to help my team visualize work in progress w/ easeunderstand key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of pur
issuesPRODUCT ["Q-085 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns t how much to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of pur
issuesPRODUCT ["Q-086 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a how much to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of pur
issuesPRODUCT ["Q-087 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns t how much to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of pur
issuesPRODUCT ["Q-088 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create t how much issuesproduct Specsimportant Detailslength of time users can access course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30
issuesPRODUCT ["Q-089 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & within how much mobile streamingcertification of completion includedredemption deadline redeem my code"
issuesPRODUCT ["Q-090 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days"
PST Buy now and get 94% off KEY FEATURESHave ["Q-091 ]
modern-day cloud computing ["Q-092 As a seasoned 15-year career technologist Danny has led to what high - performance teams ranging ranging from technology infrastructure engineering design & support and web development teams that leverage Devops and Ci / cd approaches to deliver digital products early and often ?"] "
technology infrastructure engineering ["Q-093 As a seasoned 15-year career technologist Danny has led from what high - performance teams ranging ranging & support to modern - day cloud computing and web development teams that leverage Devops and Ci / cd approaches to deliver digital products early and often ?"] "
high-performance teams ["Q-094 As has a seasoned 15-year career technologist Danny led from technology infrastructure engineering design & support to modern - day cloud computing and web development teams that leverage Devops and Ci / cd approaches to deliver digital products early and often ?"] "
leverage DevOps ["Q-095 As a seasoned 15-year career technologist Danny has led what high - performance teams ranging ranging from technology infrastructure engineering design & support to modern - day cloud computing and web development teams that l N and Ci / cd approaches to deliver digital products early and often ?"] "
digital products ["Q-096 As a seasoned 15-year career technologist Danny has led what high - performance teams ranging ranging from technology infrastructure engineering design & support to modern - day cloud computing and web development teams that leverage Devops and Ci / cd approaches to deliver early and often ?"] "
Danny ["Q-097 Who has led high - performance teams ranging from technology infrastructure engineering design & support to modern - day cloud computing and web development teams that leverage Devops and Ci / cd approaches to deliver digital products early and often ?"] "
Danny ["Q-098 Who ranging from technology infrastructure engineering design & support to modern - day cloud computing and web development teams that leverage Devops and Ci / cd approaches to deliver digital products early and often ?"] "
PST Buy now and get 94% off KEY FEATURESHave ["Q-099 ]
issuesPRODUCT ["Q-0100 ]
REAL web ["Q-01 Who get 94 % off Key Featureshave i been tasked by my company to figure out how to make software and business projects work more smoothly ? in this course you ll learn how to master Jira Agile cloud software to help i streamline my projects while turning yourself into a project management professional ! Whether you re new to Jira or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course will provide i the strategic and tactical essentials to get the most out of my Jira Agile projects using a real web design example project while saving i tons of time during the learning"
94% off KEY FEATURESHave ["Q-02 Who been tasked by my company to figure out how to make software and business projects work more smoothly ? in this course you ll learn how to master Jira Agile cloud software to help i streamline my projects while turning yourself into a project management professional ! Whether you re new to Jira or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course will provide i the strategic and tactical essentials to get the most out of my Jira Agile projects using a real web design example project while saving i tons of time during th
your company ["Q-03 Who work more smoothly ? in this course you ll learn how to master Jira Agile cloud software to help i streamline my projects while turning yourself into a project management professional ! Whether you re new to Jira or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course will provide i the strategic and tactical essentials to get the most out of my Jira Agile projects using a real web design example project while saving i tons of time during the learning process ?"] "
REAL web ["Q-04 Who streamline my projects while turning yourself into a project management professional ! Whether you re new to Jira or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course will provide i the strategic and tactical essentials to get the most out of my Jira Agile projects using a real web design example project while saving i tons of time during the learning process ?"] "
REAL web ["Q-05 Who turning yourself into a project management professional ! Whether you re new to Jira or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course will provide i the strategic and tactical essentials to get the most out of my Jira Agile projects using a real web design example project while saving i tons of time during the learning process ?"] "
Agile Certified Scrum Master product owner or software developer ["Q-06 Who will provide i the strategic and tactical essentials to get the most out of my Jira Agile projects using a real web design example project while saving i tons of time during the learning process ?"] "
JIRA Agile projects ["Q-07 Who using a real web design example project while saving i tons of time during the learning process ?"] "
Agile Certified Scrum Master product owner ["Q-08 Who saving i tons of time during the learning process ?"] "
Access 37 lectures & 1 hour of content 24/7Learn how to configure & customize board components swimlanes columns and layouts to help your team visualize work in progress w/ easeUnderstand the key differences between Epics Stories Sub-Tasks & BugsLeverage burndown control & cumulative flow charts for reportingCreate & understand the key differences between JIRA Scrum and Kanban boardsUnderstand the JIRA issue workflow & how to create issuesPRODUCT ["Q-09 Who customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand the key differences between Jira Scrum and Kanban boardsunderstand t D Jira issue"
issuesPRODUCT SPECSImportant DetailsLength of time users can access this course lifetimeAccess options web & mobile streamingCertification of completion includedRedemption deadline redeem your code within 30 days of purchaseUpdates includedExperience level required beginnerRequirementsBasic understanding of Agile terminology & conceptsAccess to JIRA server or JIRA cloud (preferred)THE EXPERTInstructorDanny Liu ["Q-10 Who can access this course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of purchaseupdates includedexperience level required beginnerrequirementsbasic understanding of Agile terminology & conceptsaccess to Jira server or Jira cloud ( preferred ) the Expertinstructordanny Liu is an Agile Release Manager a C
preferred)THE EXPERTInstructorDanny Liu ["Q-11 Who web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of purchaseupdates includedexperience level required beginnerrequirementsbasic understanding of Agile terminology & conceptsaccess to Jira server or Jira cloud ( preferred ) the Expertinstructordanny Liu is an Agile Release Manager a C a Cspo / csm & Digital Product Creator ?"] "
includedRedemption deadline ["Q-12 Who redeem my code within 30 days of purchaseupdates includedexperience level required beginnerrequirementsbasic understanding of Agile terminology & conceptsaccess to Jira server or Jira cloud ( preferred ) the Expertinstructordanny Liu is an Agile Release Manager a C a Cspo / csm & Digital Product Creator ?"] "
purchaseUpdates includedExperience level ["Q-13 Who required beginnerrequirementsbasic understanding of Agile terminology & conceptsaccess to Jira server or Jira cloud ( preferred ) the Expertinstructordanny Liu is an Agile Release Manager a C a Cspo / csm & Digital Product Creator ?"] "
Liu ["Q-14 Who is an Agile Release Manager a C a Cspo / csm & Digital Product Creator ?"] "
Danny ["Q-15 Who has led high - performance teams ranging from technology infrastructure engineering design & support to modern - day cloud computing and web development teams that leverage Devops and Ci / cd approaches to deliver digital products early and often ?"] "
Danny ["Q-16 Who ranging from technology infrastructure engineering design & support to modern - day cloud computing and web development teams that leverage Devops and Ci / cd approaches to deliver digital products early and often ?"] "
your projects ["Q-01 The Complete Jira Agile Project Management Course for Expires October 23 2119 2359 Pst Buy now and get 94 % off Key Featureshave i been tasked by my company to figure out how to make software and business projects work more smoothly ? in this course you ll learn how to master Jira Agile cloud software to help i streamline to what my projects while turning turning yourself into a project management professional ! Whether you re new or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course will provide i the strategic and tactical essentials to get the most out of my Jira"
REAL web design ["Q-02 The Complete Jira Agile Project Management Course for Expires October 23 2119 2359 Pst Buy now off what do and get 94 % by my company to figure out how to make software and business projects work more smoothly ? in this course you ll learn how to master Jira Agile cloud software to help i streamline my projects while turning yourself into a project management professional ! Whether you re new to Jira or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course will provide i the strategic and tactical essentials to get the most out of my Jira Agile projects using a rea
your company ["Q-03 The Complete Jira Agile Project Management Course for Expires October 23 2119 2359 Pst Buy now and get 94 by what been % off Key Featureshave i been tasked tasked to figure out how to make software and business projects work more smoothly ? in this course you ll learn how to master Jira Agile cloud software to help i streamline my projects while turning yourself into a project management professional ! Whether you re new to Jira or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course will provide i the strategic and tactical essentials to get the most out of my Jira
REAL web design ["Q-04 The Complete Jira Agile Project Management Course for Expires October 23 2119 2359 Pst Buy now and get 94 % off Key Featureshave i been tasked by my company to figure out how to make in what software and business projects work more smoothly ? learn how to master Jira Agile cloud software to help i streamline my projects while turning yourself into a project management professional ! Whether you re new to Jira or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course will provide i the strategic and tactical essentials to get the most out of my Jira Agile projects using"
turning yourself into a project management professional ["Q-05 The Complete Jira Agile Project Management Course for Expires October 23 2119 2359 Pst Buy now and get 94 % off Key Featureshave i been tasked by my company to figure out how to make software and business projects work more smoothly ? in this course you ll learn how to master Jira Agile cloud software to help while what i streamline my projects into a project management professional ! Whether you re new to Jira or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course will provide i the strategic and tactical essentials to get the most out o
a project management professional ["Q-06 The Complete Jira Agile Project Management Course for Expires October 23 2119 2359 Pst Buy now and get 94 % off Key Featureshave i been tasked by my company to figure out how to make software and business projects work more smoothly ? in this course you ll learn how to master Jira Agile cloud software to help i streamline into what my projects while turning turning yourself professional ! Whether you re new to Jira or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course will provide i the strategic and tactical essentials to get the most out of my Jira"
JIRA or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course will provide you the strategic and tactical essentials to get the most out of your JIRA Agile projects using a REAL web design ["Q-07 The Complete Jira Agile Project Management Course for Expires October 23 2119 2359 Pst Buy now and get 94 % off Key Featureshave i been tasked by my company to figure out how to make software and business projects work more smoothly ? in this course you ll learn how to master Jira Agile cloud software to help i streamline my projects while turning yourself into a project management professional ! Whether you re new to out what will Jira or Agile methodologies an Agile"
REAL web design ["Q-08 The Complete Jira Agile Project Management Course for Expires October 23 2119 2359 Pst Buy now and get 94 % off Key Featureshave i been tasked by my company to figure out how to make software and business projects work more smoothly ? in this course you ll learn how to master Jira Agile cloud software to help i streamline my projects while turning yourself into a project management professional ! Whether you re new to Jira or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course will provide i the strategic and tactical essentials to get the most while what out of my"
REAL web ["Q-09 The Complete Jira Agile Project Management Course for Expires October 23 2119 2359 Pst Buy now and get 94 % off Key Featureshave i been tasked by my company to figure out how to make software and business projects work more smoothly ? in this course you ll learn how to master Jira Agile cloud software to help i streamline my projects while turning yourself into a project management professional ! Whether you re new to Jira or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course will provide i the strategic and tactical essentials to get the most out of my Jira Agile proj
REAL ["Q-010 The Complete Jira Agile Project Management Course for Expires October 23 2119 2359 Pst Buy now and get 94 % off Key Featureshave i been tasked by my company to figure out how to make software and business projects work more smoothly ? in this course you ll learn how to master Jira Agile cloud software to help i streamline my projects while turning yourself into a project management professional ! Whether you re new to Jira or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course will provide i the strategic and tactical essentials to get the most out of my Jira Agile project
REAL web design ["Q-011 The Complete Jira Agile Project Management Course for Expires October 23 2119 2359 Pst Buy now what do and get off Key Featureshave i been tasked by my company to figure out how to make software and business projects work more smoothly ? in this course you ll learn how to master Jira Agile cloud software to help i streamline my projects while turning yourself into a project management professional ! Whether you re new to Jira or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course will provide i the strategic and tactical essentials to get the most out of my Jira Ag
REAL web design ["Q-012 The Complete Jira Agile Project Management Course for Expires October 23 2119 2359 Pst Buy now and get 94 what been % off Key Featureshave i been tasked tasked by my company to figure out how to make software and business projects work more smoothly ? in this course you ll learn how to master Jira Agile cloud software to help i streamline my projects while turning yourself into a project management professional ! Whether you re new to Jira or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course will provide i the strategic and tactical essentials to get the most out"
REAL web design ["Q-013 The Complete Jira Agile Project Management Course for Expires October 23 2119 2359 Pst Buy now and get 94 what been % off Key Featureshave i been tasked tasked by my company to figure out how to m N and business projects work more smoothly ? in this course you ll learn how to master Jira Agile cloud software to help i streamline my projects while turning yourself into a project management professional ! Whether you re new to Jira or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course will provide i the strategic and tactical essentials to get the most out of my"
REAL web design ["Q-014 The Complete Jira Agile Project Management Course for Expires October 23 2119 2359 Pst Buy now and get 94 % off Key Featureshave i been tasked by my company to figure out how to make software and business projects work more smoothly ? what how to m N to help i streamline my projects while turning yourself into a project management professional ! Whether you re new to Jira or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course will provide i the strategic and tactical essentials to get the most out of my Jira Agile projects using a real web design example project"
REAL web ["Q-015 The Complete Jira Agile Project Management Course for Expires October 23 2119 2359 Pst Buy now and get 94 % off Key Featureshave i been tasked by my company to figure out how to make software and business projects work more smoothly ? whom how to master Jira Agile cloud software to h N streamline my projects while turning yourself into a project management professional ! Whether you re new to Jira or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course will provide i the strategic and tactical essentials to get the most out of my Jira Agile projects using a real web des
your projects ["Q-016 The Complete Jira Agile Project Management Course for Expires October 23 2119 2359 Pst Buy now and get 94 % off Key Featureshave i been tasked by my company to figure out how to make software and business projects work more smoothly ? in this course you ll learn how to master Jira Agile cloud software to help what i streamline while turning yourself into a project management professional ! Whether you re new to Jira or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course will provide i the strategic and tactical essentials to get the most out of my Jira Agile projects
your projects ["Q-017 The Complete Jira Agile Project Management Course for Expires October 23 2119 2359 Pst Buy now and get 94 % off Key Featureshave i been tasked by my company to figure out how to make software and business projects work more smoothly ? in this course you ll learn how to master Jira Agile cloud software to help i streamline whom my projects while turning turning into a project management professional ! Whether you re new to Jira or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course will provide i the strategic and tactical essentials to get the most out of my Jira
JIRA ["Q-018 The Complete Jira Agile Project Management Course for Expires October 23 2119 2359 Pst Buy now and get 94 % off Key Featureshave i been tasked by my company to figure out how to make software and business projects work more smoothly ? in this course you ll learn how to master Jira Agile cloud software to help i streamline my projects while turning yourself into a project management professional ! Whether you re new to what will Jira or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course provide strategic and tactical essentials to get the most out of my Jira Agile projects"
JIRA ["Q-019 The Complete Jira Agile Project Management Course for Expires October 23 2119 2359 Pst Buy now and get 94 % off Key Featureshave i been tasked by my company to figure out how to make software and business projects work more smoothly ? in this course you ll learn how to master Jira Agile cloud software to help i streamline my projects while turning yourself into a project management professional ! Whether you re new to what will Jira or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course provide i the strategic and tactical essentials to get most out of my Jira Agile projec
a REAL web design ["Q-020 The Complete Jira Agile Project Management Course for Expires October 23 2119 2359 Pst Buy now and get 94 % off Key Featureshave i been tasked by my company to figure out how to make software and business projects work more smoothly ? in this course you ll learn how to master Jira Agile cloud software to help i streamline my projects while turning yourself into a project management professional ! Whether you re new to Jira or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course will provide i the strategic and tactical essentials to get the most what out of my Jir
REAL web ["Q-021 The Complete Jira Agile Project Management Course for Expires October 23 2119 2359 Pst Buy now and get 94 % off Key Featureshave i been tasked by my company to figure out how to make software and business projects work more smoothly ? in this course you ll learn how to master Jira Agile cloud software to help i streamline my projects while turning yourself into a project management professional ! Whether you re new to Jira or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course will provide i the strategic and tactical essentials to get the most out of my Jira Agile pro
REAL web ["Q-022 The Complete Jira Agile Project Management Course for Expires October 23 2119 2359 Pst Buy now and get 94 % off Key Featureshave i been tasked by my company to figure out how to make software and business projects work more smoothly ? in this course you ll learn how to master Jira Agile cloud software to help i streamline my projects while turning yourself into a project management professional ! Whether you re new to Jira or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course will provide i the strategic and tactical essentials to get the most out of whose Jira Agile
REAL web design ["Q-023 Who get 94 % off Key Featureshave i been tasked by my company to figure out how to make software and business projects work more smoothly ? in this course you ll learn how to master Jira Agile cloud software to help i streamline my projects while turning yourself into a project management professional ! Whether you re new to Jira or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course will provide i the strategic and tactical essentials to get the most out of my Jira Agile projects using a real web design example project while saving i tons of time during the lea
94% off KEY FEATURESHave ["Q-024 Who been tasked by my company to figure out how to make software and business projects work more smoothly ? in this course you ll learn how to master Jira Agile cloud software to help i streamline my projects while turning yourself into a project management professional ! Whether you re new to Jira or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course will provide i the strategic and tactical essentials to get the most out of my Jira Agile projects using a real web design example project while saving i tons of time during t
your company to figure out how to make software and business projects ["Q-025 Who work more smoothly ? in this course you ll learn how to master Jira Agile cloud software to help i streamline my projects while turning yourself into a project management professional ! Whether you re new to Jira or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course will provide i the strategic and tactical essentials to get the most out of my Jira Agile projects using a real web design example project while saving i tons of time during the learning process ?"] "
REAL web ["Q-026 Who streamline my projects while turning yourself into a project management professional ! Whether you re new to Jira or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course will provide i the strategic and tactical essentials to get the most out of my Jira Agile projects using a real web design example project while saving i tons of time during the learning process ?"] "
REAL web ["Q-027 Who turning yourself into a project management professional ! Whether you re new to Jira or Agile methodologies an Agile Certified Scrum Master product owner or software developer this course will provide i the strategic and tactical essentials to get the most out of my Jira Agile projects using a real web design example project while saving i tons of time during the learning process ?"] "
Agile Certified Scrum Master product owner or software developer ["Q-028 Who will provide i the strategic and tactical essentials to get the most out of my Jira Agile projects using a real web design example project while saving i tons of time during the learning process ?"] "
JIRA Agile projects ["Q-029 Who using a real web design example project while saving i tons of time during the learning process ?"] "
Agile Certified Scrum Master product owner or software developer ["Q-030 Who saving i tons of time during the learning process ?"] "
PST Buy now and get 94% off KEY FEATURESHave ["Q-031 ]
issuesPRODUCT ["Q-032 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of pu
issuesPRODUCT ["Q-033 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns to help my team visualize work in progress w/ easeunderstand key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of purchaseupdates incl
issuesPRODUCT ["Q-034 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of purchaseupdates incl
issuesPRODUCT ["Q-035 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of purchaseupdates incl
issuesPRODUCT ["Q-036 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of purchaseupdates incl
issuesPRODUCT ["Q-037 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of pu
issuesPRODUCT ["Q-038 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days"
issuesPRODUCT ["Q-039 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days"
issuesPRODUCT ["Q-040 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of pu
issuesPRODUCT ["Q-041 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns in what to help my team visualize work easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of purchaseupdates incl
issuesPRODUCT ["Q-042 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns to help my team visualize work in progress w/ easeunderstand key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of purchaseupdates incl
columns and layouts ["Q-043 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns between what to help my team visualize work in progress w/ easeunderstand t D key differences & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of purchaseupdates includedexperience"
issuesPRODUCT ["Q-044 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns burndown what to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of purchaseupdates"
issuesPRODUCT ["Q-045 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns for what to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of purchaseupdates inclu
issuesPRODUCT ["Q-046 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of purchaseupdates incl
issuesPRODUCT ["Q-047 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns between what to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of purchaseupdates inc
issuesPRODUCT ["Q-048 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of purchaseupdates incl
issuesPRODUCT ["Q-049 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of purchaseupdates incl
columns and layouts ["Q-050 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns of what to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of purchaseupdates"
issuesPRODUCT ["Q-051 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of pu
deadline ["Q-052 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t of what D course lifetimeaccess options web & mobile streamingcertification redeem my code within 30 days of purchaseupdates includedexperience
30 days ["Q-053 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & within what mobile streamingcertification of completion includedredemption deadline redeem my code of purc
issuesPRODUCT ["Q-054 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & of what mobile streamingcertification of completion includedredemption deadline redeem my code within"
issuesPRODUCT ["Q-055 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days"
issuesPRODUCT ["Q-056 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days"
& customize board components swimlanes columns and layouts to help your team visualize work in progress w/ easeUnderstand the key differences between Epics Stories Sub-Tasks & BugsLeverage burndown control & cumulative flow charts for reportingCreate & understand the key differences between JIRA Scrum and Kanban boardsUnderstand the JIRA issue workflow & how to create issuesPRODUCT ["Q-057 Access 37 lectures & 1 hour of content 24/7learn how to configure what & customize a C layouts to help my team visualize work in progress w/ easeunderstand the key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand the key differences between Jira Scrum a C Kanban boardsunderstand the Jira issue workfl
issuesPRODUCT ["Q-058 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a a D D D layouts to help my team visualize work in progress w/ easeunderstand the key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand the key differences between Jira Scrum a C Kanban boardsunderstand the Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access this course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 da
issuesPRODUCT ["Q-059 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns what to help in progress w/ easeunderstand the key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand the key differences between Jira Scrum a C Kanban boardsunderstand the Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access this course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of purchaseupdates includedexperience level r
issuesPRODUCT ["Q-060 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns what to help my team visualize work in progress w/ easeunderstand between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand the key differences between Jira Scrum a C Kanban boardsunderstand the Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access this course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of purchaseupdates includedexperience leve
issuesPRODUCT ["Q-061 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help what the key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand between Jira Scrum a C Kanban boardsunderstand the Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access this course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of purchaseupdates includedexperience level required beginnerrequirementsbasic understand
issuesPRODUCT ["Q-062 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand the key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand the key differences between Jira Scrum a a D D D Kanban boardsunderstand the Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access this course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 da
issuesPRODUCT ["Q-063 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand the key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & what the key differences between Jira Scrum a C Kanban boardsunderstand & how to create issuesproduct Specsimportant Detailslength of time users can access this course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of purchaseupdates includedexperience level required beginnerrequirementsbasic understanding
issuesPRODUCT ["Q-064 Access 37 lectures & 1 hour of c N 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand the key differences between Epics Stories Sub - tasks & Bugsleverage burndown c N & cumulative flow charts for reportingcreate & understand what the Jira issue workflow & how to c N of time users can access this course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of purchaseupdates includedexperience level required beginnerrequirementsbasic understanding of Agile terminology & con
issuesPRODUCT ["Q-065 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand the key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create what issuesproduct specsimportant Detailslength of time users can web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of purchaseupdates includedexperience level
issuesPRODUCT ["Q-066 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand the key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access this course lifetimeaccess options web & what mobile streamingcertification of completion includedredemption deadline redeem within 30 days of pur
30 days ["Q-067 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand the key differences between Jira Scrum a C Kanban boardsunderstand t D Jira you N workflow & how to create issuesproduct Specsimportant Detailslength of time users can access this course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 what days"
issuesPRODUCT ["Q-068 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand the key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access this course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of"
issuesPRODUCT ["Q-069 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand the key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access this course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of"
issuesPRODUCT ["Q-070 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns whose layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days"
issuesPRODUCT ["Q-071 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand whose key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days"
issuesPRODUCT ["Q-072 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand whose key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days"
issuesPRODUCT ["Q-073 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum whose Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days"
issuesPRODUCT ["Q-074 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand whose Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days"
issuesPRODUCT ["Q-075 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access whose course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days"
issuesPRODUCT ["Q-076 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days"
Access 37 lectures & 1 hour of content 24/7Learn how to configure & customize board components swimlanes columns and layouts to help your team visualize work in progress w/ easeUnderstand the key differences between Epics Stories Sub-Tasks & BugsLeverage burndown control & cumulative flow charts for reportingCreate & understand the key differences between JIRA Scrum and Kanban boardsUnderstand the JIRA issue workflow & how to create issuesPRODUCT ["Q-077 Who customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand the key differences between Jira Scrum and Kanban boardsunderstand t D Jira issue"
issuesPRODUCT SPECSImportant DetailsLength of time users can access this course lifetimeAccess options web & mobile streamingCertification of completion includedRedemption deadline redeem your code within 30 days of purchaseUpdates includedExperience level required beginnerRequirementsBasic understanding of Agile terminology & conceptsAccess to JIRA server or JIRA cloud (preferred)THE EXPERTInstructorDanny Liu ["Q-078 Who can access this course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of purchaseupdates includedexperience level required beginnerrequirementsbasic understanding of Agile terminology & conceptsaccess to Jira server or Jira cloud ( preferred ) the Expertinstructordanny Liu is an Agile Release Manager a
preferred)THE EXPERTInstructorDanny Liu ["Q-079 Who web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of purchaseupdates includedexperience level required beginnerrequirementsbasic understanding of Agile terminology & conceptsaccess to Jira server or Jira cloud ( preferred ) the Expertinstructordanny Liu is an Agile Release Manager a C a Cspo / csm & Digital Product Creator ?"] "
includedRedemption deadline ["Q-080 Who redeem my code within 30 days of purchaseupdates includedexperience level required beginnerrequirementsbasic understanding of Agile terminology & conceptsaccess to Jira server or Jira cloud ( preferred ) the Expertinstructordanny Liu is an Agile Release Manager a C a Cspo / csm & Digital Product Creator ?"] "
purchaseUpdates includedExperience level ["Q-081 Who required beginnerrequirementsbasic understanding of Agile terminology & conceptsaccess to Jira server or Jira cloud ( preferred ) the Expertinstructordanny Liu is an Agile Release Manager a C a Cspo / csm & Digital Product Creator ?"] "
preferred)THE EXPERTInstructorDanny Liu ["Q-082 Who is an Agile Release Manager a C a Cspo / csm & Digital Product Creator ?"] "
issuesPRODUCT ["Q-083 Access 37 lectures & 1 hour of content 24/7learn how to configure a how much & customize board components swimlanes columns layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30
issuesPRODUCT ["Q-084 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns t how much to help my team visualize work in progress w/ easeunderstand key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of pur
issuesPRODUCT ["Q-085 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns t how much to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of pur
issuesPRODUCT ["Q-086 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a how much to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of pur
issuesPRODUCT ["Q-087 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns t how much to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days of pur
issuesPRODUCT ["Q-088 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create t how much issuesproduct Specsimportant Detailslength of time users can access course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30
issuesPRODUCT ["Q-089 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & within how much mobile streamingcertification of completion includedredemption deadline redeem my code"
issuesPRODUCT ["Q-090 Access 37 lectures & 1 hour of content 24/7learn how to configure & customize board components swimlanes columns a C layouts to help my team visualize work in progress w/ easeunderstand t D key differences between Epics Stories Sub - tasks & Bugsleverage burndown control & cumulative flow charts for reportingcreate & understand t D key differences between Jira Scrum a C Kanban boardsunderstand t D Jira issue workflow & how to create issuesproduct Specsimportant Detailslength of time users can access t D course lifetimeaccess options web & mobile streamingcertification of completion includedredemption deadline redeem my code within 30 days"
PST Buy now and get 94% off KEY FEATURESHave ["Q-091 ]
modern-day cloud computing ["Q-092 As a seasoned 15-year career technologist Danny has led to what high - performance teams ranging ranging from technology infrastructure engineering design & support and web development teams that leverage Devops and Ci / cd approaches to deliver digital products early and often ?"] "
technology infrastructure engineering ["Q-093 As a seasoned 15-year career technologist Danny has led from what high - performance teams ranging ranging & support to modern - day cloud computing and web development teams that leverage Devops and Ci / cd approaches to deliver digital products early and often ?"] "
high-performance teams ["Q-094 As has a seasoned 15-year career technologist Danny led from technology infrastructure engineering design & support to modern - day cloud computing and web development teams that leverage Devops and Ci / cd approaches to deliver digital products early and often ?"] "
leverage DevOps ["Q-095 As a seasoned 15-year career technologist Danny has led what high - performance teams ranging ranging from technology infrastructure engineering design & support to modern - day cloud computing and web development teams that l N and Ci / cd approaches to deliver digital products early and often ?"] "
digital products ["Q-096 As a seasoned 15-year career technologist Danny has led what high - performance teams ranging ranging from technology infrastructure engineering design & support to modern - day cloud computing and web development teams that leverage Devops and Ci / cd approaches to deliver early and often ?"] "
Danny ["Q-097 Who has led high - performance teams ranging from technology infrastructure engineering design & support to modern - day cloud computing and web development teams that leverage Devops and Ci / cd approaches to deliver digital products early and often ?"] "
Danny ["Q-098 Who ranging from technology infrastructure engineering design & support to modern - day cloud computing and web development teams that leverage Devops and Ci / cd approaches to deliver digital products early and often ?"] "
PST Buy now and get 94% off KEY FEATURESHave ["Q-099 ]
issuesPRODUCT ["Q-0100 ]
Microsoft Microsoft Corp ["Q-01 Who leading up to the U ?"] "
Microsoft Microsoft Corp ["Q-02 Who has won the U ?"] "
Microsoft Microsoft Corp ["Q-03 Who said on Friday beating out favorite Amazon ?"] "
Friday ["Q-04 What time beating out favorite Amazon ?"] "
Joint Enterprise Defense Infrastructure Cloud or JEDI ["Q-05 What did the contract called called or Jedi is part of a broad modernization of the Pentagons information technology systems ?"] "
Amazon.com Inc. ["Q-06 Who called the Joint Enterprise Defense Infrastructure Cloud or Jedi is part of a broad modernization of the Pentagons information technology systems ?"] "
Joint Enterprise Defense Infrastructure Cloud or JEDI ["Q-07 Who is part of a broad modernization of the Pentagons information technology systems ?"] "
The Pentagon ["Q-08 Who released the final request for proposals from competitors seeking a single winner to allow for the most rapid adoption of the technology ?"] "
The Pentagon released the final request for proposals from competitors ["Q-09 Who seeking a single winner to allow for the most rapid adoption of the technology ?"] "
U.S. Pentagon's cloud-computing award ["Q-01 To what leading timeline - key dates leading up ?"] "
Microsoft Microsoft Corp ["Q-02 Who leading up to the U ?"] "
TIMELINE-Key ["Q-03 ]
TIMELINE ["Q-04 ]
U.S. Pentagons $10 billion ["Q-05 Pentagon & # 39 ; s cloud - computing award to what has Microsoft Microsoft Corp won ?"] "
Microsoft Microsoft Corp ["Q-06 Who has won the U ?"] "
TIMELINE ["Q-07 ]
TIMELINE ["Q-08 ]
$10 billion ["Q-09 Pentagons billion when did cloud - computing contract the Defense Department said out favorite Amazon ?"] "
$10 billion cloud-computing contract the Defense Department said on Friday beating out favorite Amazon.com Inc. ["Q-010 Pentagons billion what did cloud - computing contract the Defense Department said on Friday beating ?"] "
Microsoft Microsoft Corp ["Q-011 Who said on Friday beating out favorite Amazon ?"] "
Friday ["Q-012 What time beating out favorite Amazon ?"] "
TIMELINE-Key dates leading up to the U.S. Pentagon's ["Q-013 ]
TIMELINE-Key dates leading up to the U.S. Pentagon's ["Q-014 ]
Amazon.com Inc. ["Q-015 The contract called of what is the joint Enterprise Defense Infrastructure Cloud or Jedi part of the Pentagons information technology systems ?"] "
Amazon.com Inc. ["Q-016 The contract called where is the joint Enterprise Defense Infrastructure Cloud or Jedi part of a broad modernization ?"] "
Joint Enterprise Defense Infrastructure Cloud or JEDI ["Q-017 What did the contract called called or Jedi is part of a broad modernization of the Pentagons information technology systems ?"] "
Amazon.com Inc. ["Q-018 The contract called what is the joint Enterprise Defense Infrastructure Cloud or Jedi of a broad modernization of the Pentagons information technology systems ?"] "
Amazon.com Inc. The contract ["Q-019 Who called the Joint Enterprise Defense Infrastructure Cloud or Jedi is part of a broad modernization of the Pentagons information technology systems ?"] "
Joint Enterprise Defense Infrastructure Cloud or JEDI ["Q-020 Who is part of a broad modernization of the Pentagons information technology systems ?"] "
TIMELINE ["Q-021 ]
proposals ["Q-022 July 26 2018 for what did the Pentagon released the final request from competitors seeking a single winner to allow for the most rapid adoption of the technology ?"] "
competitors ["Q-023 July 26 2018 from what did the Pentagon released the final request for proposals single winner to allow for the most rapid adoption of the technology ?"] "
rapid adoption ["Q-024 July 26 2018 the Pentagon released for what the final request for proposals from competitors seeking seeking a single winner to allow of the technology ?"] "
the technology ["Q-025 July 26 2018 the Pentagon released of what the final request for proposals from competitors seeking seeking a single winner to allow for the most rapid adoption ?"] "
the final request ["Q-026 July 26 2018 what did the Pentagon released for proposals from competitors seeking a single winner to allow for the most rapid adoption of the technology ?"] "
TIMELINE-Key dates leading up to the U.S. Pentagon's cloud-computing award to Microsoft Microsoft Corp has won the U.S. Pentagons $10 billion cloud-computing contract the Defense Department said on Friday beating out favorite Amazon.com Inc. The contract called the Joint Enterprise Defense Infrastructure Cloud or JEDI is part of a broad modernization of the Pentagons information technology systems. JULY 26 2018 The Pentagon released the final request for proposals from competitors seeking a single winner ["Q-027 July 26 2018 the Pentagon released what the final request for proposals from competitors seeking seeking to allow for the most rapid adoption of the technology ?"] "
The Pentagon ["Q-028 Who released the final request for proposals from competitors seeking a single winner to allow for the most rapid adoption of the technology ?"] "
The Pentagon released the final request for proposals from competitors ["Q-029 Who seeking a single winner to allow for the most rapid adoption of the technology ?"] "
TIMELINE-Key dates leading up to the U.S. Pentagon's ["Q-030 ]
TIMELINE-Key ["Q-031 ]
Microsoft Microsoft Corp ["Q-01 Who leading up to the U ?"] "
Microsoft Microsoft Corp ["Q-02 Who has won the U ?"] "
Microsoft Microsoft Corp ["Q-03 Who said on Friday beating out favorite Amazon ?"] "
Friday ["Q-04 What time beating out favorite Amazon ?"] "
Joint Enterprise Defense Infrastructure Cloud or JEDI ["Q-05 What did the contract called called or Jedi is part of a broad modernization of the Pentagons information technology systems ?"] "
Amazon.com Inc. ["Q-06 Who called the Joint Enterprise Defense Infrastructure Cloud or Jedi is part of a broad modernization of the Pentagons information technology systems ?"] "
Joint Enterprise Defense Infrastructure Cloud or JEDI ["Q-07 Who is part of a broad modernization of the Pentagons information technology systems ?"] "
The Pentagon ["Q-08 Who released the final request for proposals from competitors seeking a single winner to allow for the most rapid adoption of the technology ?"] "
The Pentagon released the final request for proposals from competitors ["Q-09 Who seeking a single winner to allow for the most rapid adoption of the technology ?"] "
U.S. Pentagon's cloud-computing award ["Q-01 To what leading timeline - key dates leading up ?"] "
Microsoft Microsoft Corp ["Q-02 Who leading up to the U ?"] "
TIMELINE-Key ["Q-03 ]
TIMELINE ["Q-04 ]
U.S. Pentagons $10 billion ["Q-05 Pentagon & # 39 ; s cloud - computing award to what has Microsoft Microsoft Corp won ?"] "
Microsoft Microsoft Corp ["Q-06 Who has won the U ?"] "
TIMELINE ["Q-07 ]
TIMELINE ["Q-08 ]
$10 billion ["Q-09 Pentagons billion when did cloud - computing contract the Defense Department said out favorite Amazon ?"] "
$10 billion cloud-computing contract the Defense Department said on Friday beating out favorite Amazon.com Inc. ["Q-010 Pentagons billion what did cloud - computing contract the Defense Department said on Friday beating ?"] "
Microsoft Microsoft Corp ["Q-011 Who said on Friday beating out favorite Amazon ?"] "
Friday ["Q-012 What time beating out favorite Amazon ?"] "
TIMELINE-Key dates leading up to the U.S. Pentagon's ["Q-013 ]
TIMELINE-Key dates leading up to the U.S. Pentagon's ["Q-014 ]
Amazon.com Inc. ["Q-015 The contract called of what is the joint Enterprise Defense Infrastructure Cloud or Jedi part of the Pentagons information technology systems ?"] "
Amazon.com Inc. ["Q-016 The contract called where is the joint Enterprise Defense Infrastructure Cloud or Jedi part of a broad modernization ?"] "
Joint Enterprise Defense Infrastructure Cloud or JEDI ["Q-017 What did the contract called called or Jedi is part of a broad modernization of the Pentagons information technology systems ?"] "
Amazon.com Inc. ["Q-018 The contract called what is the joint Enterprise Defense Infrastructure Cloud or Jedi of a broad modernization of the Pentagons information technology systems ?"] "
Amazon.com Inc. The contract ["Q-019 Who called the Joint Enterprise Defense Infrastructure Cloud or Jedi is part of a broad modernization of the Pentagons information technology systems ?"] "
Joint Enterprise Defense Infrastructure Cloud or JEDI ["Q-020 Who is part of a broad modernization of the Pentagons information technology systems ?"] "
TIMELINE ["Q-021 ]
proposals ["Q-022 July 26 2018 for what did the Pentagon released the final request from competitors seeking a single winner to allow for the most rapid adoption of the technology ?"] "
competitors ["Q-023 July 26 2018 from what did the Pentagon released the final request for proposals single winner to allow for the most rapid adoption of the technology ?"] "
rapid adoption ["Q-024 July 26 2018 the Pentagon released for what the final request for proposals from competitors seeking seeking a single winner to allow of the technology ?"] "
the technology ["Q-025 July 26 2018 the Pentagon released of what the final request for proposals from competitors seeking seeking a single winner to allow for the most rapid adoption ?"] "
the final request ["Q-026 July 26 2018 what did the Pentagon released for proposals from competitors seeking a single winner to allow for the most rapid adoption of the technology ?"] "
TIMELINE-Key dates leading up to the U.S. Pentagon's cloud-computing award to Microsoft Microsoft Corp has won the U.S. Pentagons $10 billion cloud-computing contract the Defense Department said on Friday beating out favorite Amazon.com Inc. The contract called the Joint Enterprise Defense Infrastructure Cloud or JEDI is part of a broad modernization of the Pentagons information technology systems. JULY 26 2018 The Pentagon released the final request for proposals from competitors seeking a single winner ["Q-027 July 26 2018 the Pentagon released what the final request for proposals from competitors seeking seeking to allow for the most rapid adoption of the technology ?"] "
The Pentagon ["Q-028 Who released the final request for proposals from competitors seeking a single winner to allow for the most rapid adoption of the technology ?"] "
The Pentagon released the final request for proposals from competitors ["Q-029 Who seeking a single winner to allow for the most rapid adoption of the technology ?"] "
TIMELINE-Key dates leading up to the U.S. Pentagon's ["Q-030 ]
TIMELINE-Key ["Q-031 ]
MP Computing Ltd - Whitehorse YT ["Q-01 Accounting technician - what - whitehorse Yt Prepare other statistical financial and accounting reports ?"] "
Whitehorse YT jobs ["Q-02 ]
Whitehorse YT jobs ["Q-03 ]
Whitehorse YT jobs ["Q-04 ]
Whitehorse YT jobs ["Q-05 ]
MP Computing Ltd - Whitehorse YT ["Q-01 Accounting technician - what - whitehorse Yt Prepare other statistical financial and accounting reports ?"] "
Whitehorse YT jobs ["Q-02 ]
Whitehorse YT jobs ["Q-03 ]
Whitehorse YT jobs ["Q-04 ]
Whitehorse YT jobs ["Q-05 ]
its business ["Q-01 What does an enterprise wants to expand by adding five more international offices ?"] "
An enterprise ["Q-02 Who wants to expand its business by adding five more international offices ?"] "
An enterprise ["Q-03 Who adding five more international offices ?"] "
SaaS subscription ["Q-04 Where does cloud computing makes it possible to add multiple users in just a few minutes ?"] "
Cloud computing ["Q-05 What does Cloud computing makes possible to add multiple users to its Saas subscription in just a few minutes ?"] "
add multiple users ["Q-06 What does Cloud computing makes it possible to a R to its Saas subscription in just a few minutes ?"] "
Cloud computing ["Q-07 Who makes it possible to add multiple users to its Saas subscription in just a few minutes ?"] "
Cloud computing ["Q-08 What but the company also needs to consider that are critical for the enterprise network \u2013 namely security integrated service [ ?"] "
the company ["Q-09 Who also needs to consider other aspects that are critical for the enterprise network \u2013 namely security integrated service [ ?"] "
hybrid cloud networks ["Q-01 ]
adding five ["Q-02 By what does an enterprise wants to expand its business more international offices ?"] "
its business ["Q-03 What does an enterprise wants to expand by adding five more international offices ?"] "
its business ["Q-04 An enterprise wants to expand what its business by adding adding more international offices ?"] "
An enterprise ["Q-05 Who wants to expand its business by adding five more international offices ?"] "
An enterprise ["Q-06 Who adding five more international offices ?"] "
five ["Q-07 An enterprise wants to expand how much its business by adding adding more international offices ?"] "
hybrid cloud networks ["Q-08 ]
SaaS subscription ["Q-09 Where does cloud computing makes it possible to add multiple users in just a few minutes ?"] "
Cloud computing makes it possible to add multiple users to its SaaS subscription in just a few minutes. But the company also needs to consider other aspects that are critical for the enterprise network \u2013 namely security integrated service ["Q-010 In what does Cloud computing makes it possible to add multiple users to its Saas subscription few minutes ?"] "
Cloud computing ["Q-011 What does Cloud computing makes possible to add multiple users to its Saas subscription in just a few minutes ?"] "
add multiple users ["Q-012 What does Cloud computing makes it possible to a R to its Saas subscription in just a few minutes ?"] "
Cloud computing ["Q-013 Who makes it possible to add multiple users to its Saas subscription in just a few minutes ?"] "
hybrid cloud networks ["Q-014 ]
enterprise network ["Q-015 For what but the company also needs to consider other aspects that are critical namely security integrated service [ ?"] "
Cloud computing ["Q-016 What but the company also needs to consider that are critical for the enterprise network \u2013 namely security integrated service [ ?"] "
the company ["Q-017 Who also needs to consider other aspects that are critical for the enterprise network \u2013 namely security integrated service [ ?"] "
hybrid cloud networks ["Q-018 ]
. ["Q-019 ]
hybrid cloud networks ["Q-020 ]
hybrid cloud networks ["Q-021 Of what a new era ( Reader Forum ) appeared first on Rcr Wireless News ?"] "
RCR Wireless News ["Q-022 On what a new era of hybrid cloud networks ( Reader Forum ) appeared first ?"] "
hybrid cloud networks ["Q-023 ]
hybrid cloud networks ["Q-024 ]
its business ["Q-01 What does an enterprise wants to expand by adding five more international offices ?"] "
An enterprise ["Q-02 Who wants to expand its business by adding five more international offices ?"] "
An enterprise ["Q-03 Who adding five more international offices ?"] "
SaaS subscription ["Q-04 Where does cloud computing makes it possible to add multiple users in just a few minutes ?"] "
Cloud computing ["Q-05 What does Cloud computing makes possible to add multiple users to its Saas subscription in just a few minutes ?"] "
add multiple users ["Q-06 What does Cloud computing makes it possible to a R to its Saas subscription in just a few minutes ?"] "
Cloud computing ["Q-07 Who makes it possible to add multiple users to its Saas subscription in just a few minutes ?"] "
Cloud computing ["Q-08 What but the company also needs to consider that are critical for the enterprise network \u2013 namely security integrated service [ ?"] "
the company ["Q-09 Who also needs to consider other aspects that are critical for the enterprise network \u2013 namely security integrated service [ ?"] "
hybrid cloud networks ["Q-01 ]
adding five ["Q-02 By what does an enterprise wants to expand its business more international offices ?"] "
its business ["Q-03 What does an enterprise wants to expand by adding five more international offices ?"] "
its business ["Q-04 An enterprise wants to expand what its business by adding adding more international offices ?"] "
An enterprise ["Q-05 Who wants to expand its business by adding five more international offices ?"] "
An enterprise ["Q-06 Who adding five more international offices ?"] "
five ["Q-07 An enterprise wants to expand how much its business by adding adding more international offices ?"] "
hybrid cloud networks ["Q-08 ]
SaaS subscription ["Q-09 Where does cloud computing makes it possible to add multiple users in just a few minutes ?"] "
Cloud computing makes it possible to add multiple users to its SaaS subscription in just a few minutes. But the company also needs to consider other aspects that are critical for the enterprise network \u2013 namely security integrated service ["Q-010 In what does Cloud computing makes it possible to add multiple users to its Saas subscription few minutes ?"] "
Cloud computing ["Q-011 What does Cloud computing makes possible to add multiple users to its Saas subscription in just a few minutes ?"] "
add multiple users ["Q-012 What does Cloud computing makes it possible to a R to its Saas subscription in just a few minutes ?"] "
Cloud computing ["Q-013 Who makes it possible to add multiple users to its Saas subscription in just a few minutes ?"] "
hybrid cloud networks ["Q-014 ]
enterprise network ["Q-015 For what but the company also needs to consider other aspects that are critical namely security integrated service [ ?"] "
Cloud computing ["Q-016 What but the company also needs to consider that are critical for the enterprise network \u2013 namely security integrated service [ ?"] "
the company ["Q-017 Who also needs to consider other aspects that are critical for the enterprise network \u2013 namely security integrated service [ ?"] "
hybrid cloud networks ["Q-018 ]
. ["Q-019 ]
hybrid cloud networks ["Q-020 ]
hybrid cloud networks ["Q-021 Of what a new era ( Reader Forum ) appeared first on Rcr Wireless News ?"] "
RCR Wireless News ["Q-022 On what a new era of hybrid cloud networks ( Reader Forum ) appeared first ?"] "
hybrid cloud networks ["Q-023 ]
hybrid cloud networks ["Q-024 ]
none ["Q-01 ]
none ["Q-01 ]
The thing I'm ["Q-01 Who trying t T argue is complex and yes it is something in the middle between the two options ?"] "
I'm ["Q-02 Who is something in the middle between the two options ?"] "
match ["Q-03 Who tested processing ( ( data / experience ?"] "
theoretical beauty ["Q-04 Who think you should take active inference seriously as an architectural principle ?"] "
theoretical beauty I think ["Q-05 Who should take active inference seriously as an architectural principle ?"] "
active inference ["Q-06 Who comes from an ability to do inner simulations ?"] "
harmful ["Q-07 How for what may it match everyday experience here ?"] "
everyday experience ["Q-08 How what may it match for example here ?"] "
right" ["Q-09 Who may match everyday experience for example here ?"] "
sub-parts into the PP/AI machinery these sub-parts do not somehow "directly interface the world" but are "burried" within the hierarchy of the generative layers; so they not care about people or objects or whatever but about some abstract variablesthey are quite "agenty" ["Q-10 Who was broadly Bayesian / optimal/ & quot ; unbounded & quot ; ?"] "
Unbounded predictive processing / active inference agent ["Q-11 Who is a fearsome monster in a similar way as a fully rational Vnm agent ?"] "
rationality ["Q-12 What is the other key ingredient bounded ?"] "
The other key ingredient ["Q-13 Who is bounded rationality ?"] "
consequence of computational/signal processing boundedness both in PP/AI models and non PP/AI models. My credence in boundedness being a key ingredient 0.994 ["Q-14 What are most biases of computational / signal processing boundedness both in Pp / ai models and non Pp / ai models ?"] "
Most biases ["Q-15 Who are consequence of computational / signal processing boundedness both in Pp / ai models and non Pp / ai models ?"] "
a key ingredient 0.994 ["Q-16 What your credence in boundedness being being ?"] "
My credence in boundedness ["Q-17 Who being a key ingredient 0 ?"] "
boundedness ["Q-18 What is in what missing from the picture so far missing some sort of & quot ; goals & quot ; or & quot ; motivation & quot ; ( or how evolution can insert into the brain some signal ) ?"] "
the brain some signal ["Q-19 What is missing from the picture so far is some sort of & quot ; goals & quot ; or & quot ; motivation & quot ; ( or in other view a way how into what can evolution insert ) ?"] "
quot;motivation" ["Q-20 What is what missing from the picture so far missing of & quot ; goals & quot ; or & quot ; motivation & quot ; ( or in other view a way how evolution can insert into the brain some signal ) ?"] "
Karl Friston ["Q-21 Who start with the premise that adaptive agents or pheno - types must occupy a limited repertoire of physical states ?"] "
adaptive agents or pheno-types ["Q-22 Who must occupy a limited repertoire of physical states ?"] "
phenotype ["Q-23 Who must possess defining characteristics or traits ; both in terms of its morphology and exchange with the environment ?"] "
characteristics or traits; both in terms of its morphology and exchange with the environment ["Q-24 What these traits essentially l N to a bounded region in the space of all states it could be in ?"] "
Karl Friston deals with this e.g.We start with the premise that adaptive agents or pheno-types must occupy a limited repertoire of physical states. For a phenotype to exist it must possess defining characteristics or traits; both in terms of its morphology and exchange with the environment. These traits ["Q-25 Who essentially limit the agent to a bounded region in the space of all states it could be in ?"] "
the agent to a bounded region in the space of all states ["Q-26 Who could be in ?"] "
Karl Friston ["Q-27 Who ceases to possess that trait ( cf ?"] "
fish ["Q-28 Who find unsatisfactory ?"] "
predictive processing ["Q-29 What your credence in this being being ?"] "
0.15 ["Q-30 Who being complete explanation 0 ?"] "
My ["Q-31 Whose hypothesis is ca ?"] "
Credence 0.8(I ["Q-32 Who is ca ?"] "
PP/AI and the world of theories ["Q-33 Who viewing the mind as a multi agent system ?"] "
introspective support ["Q-34 What do multi - agent theories of mind have in various styles of psychotherapy Ifs meditative experience some rationality techniques ?"] "
Multi-agent theories of mind ["Q-35 Who have some introspective support in various styles of psychotherapy Ifs meditative experience some rationality techniques ?"] "
Multi-agent theories of mind have some introspective support in various styles of psychotherapy IFS meditative experience some rationality techniques ["Q-36 What and also seem to be explain where humans seem to & quot ; defect against themselves & quot ; ?"] "
Multi-agent ["Q-37 Who also seem to be explain behavior where humans seem to & quot ; defect against themselves & quot ; ?"] "
abstract variablesthey are quite "agenty" optimizing some utility functionfrom the point of view of such sub-agent other sub-agents inside of the same mind are possibly competitors; at least some sub-agents likely have access to enough computing power to not only "care about what they are intended to care about" but do a basic modelling of other sub-agents; internal game theoretical mess ensues6. This hypothesis bridges the framework of PP/AI and the world of theories viewing the mind as a multi agent system. Multi-agent theories of mind have some introspective support in various styles of psychotherapy IFS meditative experience some rationality techniques. And also seem to be explain behavior where humans ["Q-38 Who seem to & quot ; defect against themselves & quot ; ?"] "
Credence 0.8(I ["Q-39 Who guess a predictive processing purist would probably describe 5 ?"] "
predictive processing purist ["Q-40 Who would probably describe 5 ?"] "
& 6. as just a case of competing predictive models not adding anything conceptually new.)Now ["Q-41 Who competing predictive models not adding anything conceptually new ?"] "
competing predictive models ["Q-42 Who not adding anything conceptually new ?"] "
competing predictive models ["Q-43 Who would actually want to draw a graph how strongly 1 ?"] "
alignment ["Q-44 Who motivate various research questions ?"] "
hierarchical modelling ["Q-45 What for example the question about understanding understanding is interesting even if there is no multi - agency scaling of sub - agents can be motivated even without active inference etc ?"] "
Credence 0.8(I guess a predictive processing purist would probably describe 5. & 6. as just a case of competing predictive models not adding anything conceptually new.)Now I would actually want to draw a graph how strongly 1...6. motivate different possible problems with alignment and how these problems motivate various research questions ["Q-46 Who understanding hierarchical modelling is interesting even if there is no multi - agency scaling of sub - agents can be motivated even without active inference etc ?"] "
understanding hierarchical modelling ["Q-47 Who is interesting even if there is no multi - agency scaling of sub - agents can be motivated even without active inference etc ?"] "
sub-agents ["Q-48 Who can be motivated even without active inference etc ?"] "
I'm ["Q-01 Comment by Jan_kulveit on Multi - agent predictive minds and Ai alignment the thing you & # x27 ; m trying trying argue is complex and yes it is something in the middle between the two options ?"] "
I'm ["Q-02 Comment by Jan_kulveit on Multi - agent predictive minds and Ai alignment the thing you & # x27 ; m trying trying argue is complex and yes it is something in the middle between the two options ?"] "
middle ["Q-03 Comment by Jan_kulveit on Multi - agent predictive minds and Ai alignment the thing you & # x27 ; m trying t T argue is complex and yes in what is it something between the two options ?"] "
the two options.1 ["Q-04 Comment by Jan_kulveit on Multi - agent predictive minds and Ai alignment the thing you & # x27 ; m trying t T argue is complex and yes between what is it something in the middle ?"] "
trying ["Q-05 Comment by Jan_kulveit on Multi - agent predictive minds and Ai alignment the t N you & # x27 ; m trying t t N N N argue is complex and yes it is something in the middle between the two options ?"] "
I'm ["Q-06 Comment by Jan_kulveit on Multi - agent predictive minds and Ai alignment the thing you & # x27 ; m trying t T argue is complex and whom N is something in the middle between the two options ?"] "
it is something ["Q-07 Comment by Jan_kulveit on Multi - agent predictive minds and Ai alignment the thing you & # x27 ; m trying t T argue is complex and yes what is it in the middle between the two options ?"] "
I'm ["Q-08 Comment by Jan_kulveit on Multi - agent predictive minds and Ai alignment the thing you & # x27 ; m trying whose argue is complex and yes it is something in the middle between the two options ?"] "
The thing I'm ["Q-09 Who trying t T argue is complex and yes it is something in the middle between the two options ?"] "
I'm ["Q-010 Who is something in the middle between the two options ?"] "
I'm ["Q-011 Comment by Jan_kulveit on Multi - agent predictive minds and Ai alignment the thing you & # x27 ; t how much m trying trying argue is complex and yes it is something in the middle between the two options ?"] "
I'm ["Q-012 Comment by Jan_kulveit on Multi - agent predictive minds and Ai alignment the t N you & # x27 ; m trying how much t t N N N argue is complex and yes it is something in the middle between the two options ?"] "
amp; 6 ["Q-013 ]
amp; 6 ["Q-014 ]
match ["Q-015 Who tested processing ( ( data / experience ?"] "
optimal/"unbounded". ["Q-016 ]
Credence 0.8(I guess a predictive processing purist would probably describe 5. & 6 ["Q-017 ]
Credence 0.8(I ["Q-018 ]
an architectural principle ["Q-019 Because of the theoretical beauty you think as what should you take active inference seriously ?"] "
predictive processing in a narrow sense 0.952 ["Q-020 Because of whom the theoretical beauty you t N should take active inference seriously as an architectural principle ?"] "
active inference ["Q-021 Because of the theoretical beauty you think what should you take seriously as an architectural principle ?"] "
theoretical beauty I ["Q-022 Who think you should take active inference seriously as an architectural principle ?"] "
theoretical beauty I think ["Q-023 Who should take active inference seriously as an architectural principle ?"] "
amp; 6 ["Q-024 ]
an ability ["Q-025 Vague introspective evidence for from what does active inference comes to do inner simulations ?"] "
inner simulations ["Q-026 Vague introspective evidence for what does active inference comes from an ability to do ?"] "
active inference ["Q-027 Who comes from an ability to do inner simulations ?"] "
amp; 6 ["Q-028 ]
the principle ["Q-029 Possibly from what can boldest claim you make alone is that people will have a bias to take actions which will & quot ; prove their models are right & quot ; even at the cost of the actions being actually harmful for them in some important sense ?"] "
right" ["Q-030 Possibly boldest claim you can make that what is from the principle alone will have a bias to take actions which will & quot ; prove their models are right & quot ; even at the cost of the actions being actually harmful for them in some important sense ?"] "
the cost ["Q-031 Possibly boldest claim you can make from the principle alone is that people will have a bias to take actions which will & quot ; prove at what are their models right & quot ; even of the actions being actually harmful for them in some important sense ?"] "
right" ["Q-032 Possibly boldest claim you can make from the principle alone is that people will have a bias to take actions which will & quot ; prove of what are their models right & quot ; even at the cost actually harmful for them in some important sense ?"] "
right" ["Q-033 Possibly boldest claim you can make from the principle alone is that people will have a bias to take actions which will & quot ; prove their models are right & quot ; even for whom at the cost of the actions being being actually harmful in some important sense ?"] "
some important sense ["Q-034 Possibly boldest claim you can make from the principle alone is that people will have a bias to take actions which will & quot ; prove their models are right & quot ; even in what at the cost of the actions being being actually harmful for them ?"] "
a bias ["Q-035 Possibly boldest claim you can make from the principle alone is what will that people have to take actions which will & quot ; prove their models are right & quot ; even at the cost of the actions being actually harmful for them in some important sense ?"] "
right" ["Q-036 Possibly boldest claim you can make from the principle alone is what will that people have a bias to take which will & quot ; prove their models are right & quot ; even at the cost of the actions being actually harmful for them in some important sense ?"] "
"prove their models are right" ["Q-037 Possibly boldest claim you can make from the principle alone is that people will have a bias to take actions which will what ; prove are right & quot ; even at the cost of the actions being actually harmful for them in some important sense ?"] "
right" ["Q-038 Possibly boldest claim you can make from the principle alone is that people will have a bias to take actions which will & quot ; prove whose models are right & quot ; even at the cost of the actions being actually harmful for them in some important sense ?"] "
0.994 ["Q-039 ]
harmful ["Q-040 How for what may it match everyday experience here ?"] "
everyday experience ["Q-041 How what may it match for example here ?"] "
people will have a bias to take actions which will "prove their models ["Q-042 Who may match everyday experience for example here ?"] "
amp; 6 ["Q-043 ]
amp; 6 ["Q-044 ]
Credence 0.8(I ["Q-045 ]
Bayesian/optimal/"unbounded". ["Q-046 So far did the description was & quot ; unbounded & quot ; ?"] "
sub-parts into the PP/AI machinery these sub-parts do not somehow "directly interface the world" but are "burried" ["Q-047 Who was broadly Bayesian / optimal/ & quot ; unbounded & quot ; ?"] "
amp; 6 ["Q-048 ]
optimal/"unbounded". ["Q-049 Unbounded predictive processing / in what is active inference agent a fearsome monster as a fully rational Vnm agent ?"] "
optimal/"unbounded". ["Q-050 Unbounded predictive processing / where is active inference agent a fearsome monster in a similar way ?"] "
fearsome monster ["Q-051 Unbounded predictive processing / what is active inference agent in a similar way as a fully rational Vnm agent ?"] "
Unbounded predictive processing / active inference agent ["Q-052 Who is a fearsome monster in a similar way as a fully rational Vnm agent ?"] "
amp; 6 ["Q-053 ]
rationality ["Q-054 What is the other key ingredient bounded ?"] "
The other key ingredient ["Q-055 Who is bounded rationality ?"] "
Credence 0.8(I ["Q-056 ]
computational/signal processing boundedness ["Q-057 Of what are most biases consequence in Pp / ai models and non Pp / ai models ?"] "
Most biases are consequence of computational/signal processing boundedness both in PP/AI models and non PP/AI models ["Q-058 Are most biases consequence of computational / signal processing boundedness both and non Pp / ai models ?"] "
consequence of computational/signal processing boundedness both in PP/AI models and non PP/AI models. My credence in boundedness being a key ingredient 0.994 ["Q-059 What are most biases of computational / signal processing boundedness both in Pp / ai models and non Pp / ai models ?"] "
Most biases ["Q-060 Who are consequence of computational / signal processing boundedness both in Pp / ai models and non Pp / ai models ?"] "
Credence 0.8(I guess a predictive processing purist would probably describe 5. & 6 ["Q-061 ]
a key ingredient 0.994 ["Q-062 What your credence in boundedness being being ?"] "
PP/AI models and non PP/AI models. My credence in boundedness ["Q-063 Who being a key ingredient 0 ?"] "
amp; 6 ["Q-064 ]
Credence 0.8(I ["Q-065 ]
boundedness ["Q-066 What is in what missing from the picture so far missing some sort of & quot ; goals & quot ; or & quot ; motivation & quot ; ( or how evolution can insert into the brain some signal ) ?"] "
the brain some signal ["Q-067 What is missing from the picture so far is some sort of & quot ; goals & quot ; or & quot ; motivation & quot ; ( or in other view a way how into what can evolution insert ) ?"] "
quot;motivation" ["Q-068 What is what missing from the picture so far missing of & quot ; goals & quot ; or & quot ; motivation & quot ; ( or in other view a way how evolution can insert into the brain some signal ) ?"] "
amp; 6 ["Q-069 ]
optimal/"unbounded". ["Q-070 ]
optimal/"unbounded". ["Q-071 ]
the premise ["Q-072 With what you start that adaptive agents or pheno - types must occupy a limited repertoire of physical states ?"] "
physical states ["Q-073 We start with the premise that of what must adaptive agents or pheno - types occupy a limited repertoire ?"] "
limited repertoire ["Q-074 We start with the premise that what must adaptive agents or pheno - types occupy of physical states ?"] "
Karl Friston ["Q-075 Who start with the premise that adaptive agents or pheno - types must occupy a limited repertoire of physical states ?"] "
adaptive agents or pheno-types ["Q-076 Who must occupy a limited repertoire of physical states ?"] "
Credence 0.8(I guess a predictive processing purist would probably describe 5. & 6 ["Q-077 ]
limit the agent to a bounded region ["Q-078 For a phenotype to exist in what must it possess defining characteristics or traits ; both of its morphology and exchange with the environment ?"] "
morphology ["Q-079 For a phenotype to exist of what must it possess defining characteristics or traits ; both in terms and exchange with the environment ?"] "
the environment ["Q-080 For a phenotype to exist with what must it possess defining characteristics or traits ; both in terms of its morphology and exchange ?"] "
characteristics ["Q-081 For a phenotype to exist what must it possess defining or traits ; both in terms of its morphology and exchange with the environment ?"] "
phenotype ["Q-082 Who must possess defining characteristics or traits ; both in terms of its morphology and exchange with the environment ?"] "
amp; 6 ["Q-083 ]
a bounded region ["Q-084 To what these traits essentially limit the agent in the space of all states it could be in ?"] "
the space ["Q-085 These traits essentially limit the agent to in what did a bounded region of all states it could be in ?"] "
characteristics or traits; both in terms of its morphology and exchange with the environment ["Q-086 Of what these traits essentially limit the agent to a bounded region in the space could be in ?"] "
characteristics or traits; both in terms of its morphology and exchange with the environment ["Q-087 What these traits essentially l N to a bounded region in the space of all states it could be in ?"] "
Karl Friston deals with this e.g.We start with the premise that adaptive agents or pheno-types must occupy a limited repertoire of physical states. For a phenotype to exist it must possess defining characteristics or traits; both in terms of its morphology and exchange with the environment. These traits ["Q-088 Who essentially limit the agent to a bounded region in the space of all states it could be in ?"] "
the agent to a bounded region in the space of all states ["Q-089 Who could be in ?"] "
& 6 ["Q-090 ]
trait ["Q-091 Once that what outside these bounds it ceases to possess ( cf ?"] "
outside ["Q-092 Who ceases to possess that trait ( cf ?"] "
0.994 ["Q-093 ]
0.994 ["Q-094 ]
a fish out of water).is ["Q-095 Who find unsatisfactory ?"] "
Credence 0.8(I guess a predictive processing purist would probably describe 5. & 6 ["Q-096 ]
boundedness ["Q-097 What your credence in this being being ?"] "
0.15 ["Q-098 Who being complete explanation 0 ?"] "
0.994 ["Q-099 ]
optimal/"unbounded". ["Q-0100 ]
My ["Q-0101 Whose hypothesis is ca ?"] "
My hypothesis ["Q-0102 Who is ca ?"] "
Credence 0.8(I guess a predictive processing purist would probably describe 5. & 6 ["Q-0103 ]
enough computing power ["Q-0104 This evolution inserts some & quot ; goal - directed & quot ; sub - parts into the Pp / ai machinery these sub - parts do not somehow & quot ; directly interface the world & quot ; but are & quot ; burried & quot ; within the hierarchy of the generative layers ; so they not care about people or objects or whatever but about some abstract variablesthey are quite & quot ; agenty & quot ; optimizing some utility functionfrom the point of view of such sub - agent other sub - agents inside of to what are the same mind possibly competitors ; at least some sub - agents likely have access
the point ["Q-0105 Some & quot ; goal - directed & quot ; sub - parts do not somehow & quot ; directly interface the world & quot ; but are & quot ; burried & quot ; within the hierarchy of the generative layers ; so they not care about people or objects or whatever but about some abstract variablesthey are quite & quot ; agenty & quot ; optimizing some utility functionfrom the point of view of such sub - agent other sub - agents inside of the same mind are possibly competitors ; at least some sub - agents likely have access to enough computing power to not only & quot ; care about what they are intended t
the hierarchy ["Q-0106 This evolution inserts some & quot ; goal - directed & quot ; sub - parts into the Pp / ai machinery these sub - parts do not somehow & quot ; directly interface the world & quot ; but are within what ; burried & quot ; of the generative layers ; so they not care about people or objects or whatever but about some abstract variablesthey are quite & quot ; agenty & quot ; optimizing some utility functionfrom the point of view of such sub - agent other sub - agents inside of the same mind are possibly competitors ; at least some sub - agents likely have access to enough computing power to
the point ["Q-0107 This evolution inserts some & quot ; goal - directed & quot ; sub - parts into the Pp / ai machinery these sub - parts do not somehow & quot ; directly interface the world & quot ; but are of what ; burried & quot ; within the hierarchy ; so they not care about people or objects or whatever but about some abstract variablesthey are quite & quot ; agenty & quot ; optimizing some utility functionfrom the point of view of such sub - agent other sub - agents inside of the same mind are possibly competitors ; at least some sub - agents likely have access to enough computing power to not only
people ["Q-0108 This evolution inserts some & quot ; goal - directed & quot ; sub - parts into the Pp / ai machinery these sub - parts do not somehow & quot ; directly interface the world & quot ; but are & quot ; burried & quot ; within the hierarchy of the generative layers ; so about what they not care or objects or whatever but about some abstract variablesthey are quite & quot ; agenty & quot ; optimizing some utility functionfrom the point of view of such sub - agent other sub - agents inside of the same mind are possibly competitors ; at least some sub - agents likely have access to enough computing"
abstract variablesthey are quite "agenty" optimizing some utility functionfrom the point ["Q-0109 This evolution inserts some & quot ; goal - directed & quot ; sub - parts into the Pp / ai machinery these sub - parts do not somehow & quot ; directly interface the world & quot ; but are & quot ; burried & quot ; within the hierarchy of the generative layers ; so about what they not care about people or objects or whatever but are quite & quot ; agenty & quot ; optimizing some utility functionfrom the point of view of such sub - agent other sub - agents inside of the same mind are possibly competitors ; at least some sub - a
utility functionfrom the point of view ["Q-0110 This evolution inserts some & quot ; goal - directed & quot ; sub - parts into the Pp / ai machinery these sub - parts do not somehow & quot ; directly interface the world & quot ; but are & quot ; burried & quot ; within the hierarchy of the generative layers ; so they not care about people or objects or whatever but about some abstract variablesthey are quite & quot ; agenty & quot ; of what the point of such sub - agent other sub - agents inside of the same mind are possibly competitors ; at least some sub - agents likely have access to enough computing power to"
quot;burried" ["Q-0111 This evolution inserts some & quot ; goal - directed & quot ; sub - parts into the Pp / ai machinery these sub - parts do not somehow & quot ; directly interface the world & quot ; but are & quot ; burried & quot ; within the hierarchy of the generative layers ; so they not care about people or objects or whatever but about some abstract variablesthey are quite & quot ; agenty & quot ; the point of view inside of the same mind are possibly competitors ; at least some sub - agents likely have access to enough computing power to not only & quot ; care about what they are intended t
utility functionfrom ["Q-0112 This evolution inserts some & quot ; goal - directed & quot ; sub - parts into the Pp / ai machinery these sub - parts do not somehow & quot ; directly interface the world & quot ; but are & quot ; burried & quot ; within the hierarchy of the generative layers ; so they not care about people or objects or whatever but about some abstract variablesthey are quite & quot ; agenty & quot ; inside what the point of view of such sub - agent other sub - agents are possibly competitors ; at least some sub - agents likely have access to enough computing power to not only & quot ; care"
quot;burried" ["Q-0113 This evolution inserts some & quot ; goal - directed & quot ; sub - parts into the Pp / ai machinery these sub - parts do not somehow & quot ; directly interface the world & quot ; but are & quot ; burried & quot ; within the hierarchy of the generative layers ; so they not care about people or objects or whatever but about some abstract variablesthey are quite & quot ; agenty & quot ; optimizing some utility functionfrom the point of view of such sub - agent other sub - agents inside of are the same mind possibly competitors ; likely have access to enough computing power to not only &
the point ["Q-0114 This evolution inserts some & quot ; goal - directed & quot ; sub - parts into the Pp / ai machinery these sub - parts do not somehow & quot ; directly interface the world & quot ; but are & quot ; burried & quot ; within the hierarchy of the generative layers ; so they not care about people or objects or whatever but about some abstract variablesthey are quite & quot ; agenty & quot ; optimizing some utility functionfrom the point of view of such sub - agent other sub - agents inside of the same mind are possibly competitors ; at least some sub - agents likely have access to enough computi
the point ["Q-0115 This evolution what you you N N N & quot ; goal - directed & quot ; sub - parts into the Pp / ai machinery these sub - parts do not somehow & quot ; directly interface the world & quot ; but are & quot ; burried & quot ; within the hierarchy of the generative layers ; so they not care about people or objects or whatever but about some abstract variablesthey are quite & quot ; agenty & quot ; optimizing some utility functionfrom the point of view of such sub - agent other sub - agents inside of the same mind are possibly competitors ; at least some sub - agents likely have access to"
the point ["Q-0116 This evolution inserts some & quot ; goal - directed & quot ; do sub - parts into the Pp / ai machinery these sub - parts do not somehow & quot ; directly you N & quot ; but are & quot ; burried & quot ; within the hierarchy of the generative layers ; so they not care about people or objects or whatever but about some abstract variablesthey are quite & quot ; agenty & quot ; optimizing some utility functionfrom the point of view of such sub - agent other sub - agents inside of the same mind are possibly competitors ; at least some sub - agents likely have access to enough computing power
utility functionfrom ["Q-0117 This evolution inserts some & quot ; goal - directed & quot ; sub - parts into the Pp / ai machinery these sub - parts do not somehow & quot ; directly interface the world & quot ; but are & quot ; burried & quot ; within the hierarchy of the generative layers ; so they not care about people or objects or whatever what are but about some abstract variablesthey quite & quot ; agenty & quot ; optimizing functionfrom the point of view of such sub - agent other sub - agents inside of the same mind are possibly competitors ; at least some sub - agents likely have access to enough computi
utility functionfrom the point ["Q-0118 This evolution inserts some & quot ; goal - directed & quot ; sub - parts into the Pp / ai machinery these sub - parts do not somehow & quot ; directly interface the world & quot ; but are & quot ; burried & quot ; within the hierarchy of the generative layers ; so they not care about people or objects or whatever but about some abstract variablesthey are quite & quot ; agenty & quot ; what you of view of such sub - agent other sub - agents inside of the same mind are possibly competitors ; at least some sub - agents likely have access to enough computing power to not o
competitors ["Q-0119 This evolution inserts some & quot ; goal - directed & quot ; sub - parts into the Pp / ai machinery these sub - parts do not somehow & quot ; directly interface the world & quot ; but are & quot ; burried & quot ; within the hierarchy of the generative layers ; so they not care about people or objects or whatever but about some abstract variablesthey are quite & quot ; agenty & quot ; optimizing some utility functionfrom the point of view of such sub - agent other sub - agents inside of what are the same mind ; at least some sub - agents likely have access to enough computing power to
the same mind ["Q-0120 This evolution inserts some & quot ; goal - directed & quot ; sub - parts into the Pp / ai machinery these sub - parts do not somehow & quot ; directly interface the world & quot ; but are & quot ; burried & quot ; within the hierarchy of the generative layers ; so they not care about people or objects or whatever but about some abstract variablesthey are quite & quot ; agenty & quot ; optimizing some utility functionfrom the point of view of such sub - agent other sub - agents inside of what are the same mind possibly competitors ; at least some sub - agents likely have to enough compu
the same mind ["Q-0121 This evolution inserts some & quot ; goal - directed & quot ; sub - parts into the Pp / ai machinery these sub - parts do not somehow & quot ; directly interface the world & quot ; but are & quot ; burried & quot ; within the hierarchy of the generative layers ; so they not care about people or objects or whatever but about some abstract variablesthey are quite & quot ; agenty & quot ; optimizing some utility functionfrom the point of view of such sub - agent other sub - agents inside of what are the same mind possibly competitors ; at least some sub - agents likely have access to enoug
the point ["Q-0122 This evolution inserts some & quot ; goal - directed & quot ; sub - parts into the Pp / ai machinery these sub - parts do not somehow & quot ; directly interface the world & quot ; but are & quot ; burried & quot ; within the hierarchy of the generative layers ; so they not care about people or objects or whatever but about some abstract variablesthey are quite & quot ; agenty & quot ; optimizing some utility functionfrom the point of view of such sub - agent other sub - agents inside of the same mind are possibly competitors ; at least some sub - agents likely have access to enough computi
the point ["Q-0123 This evolution inserts some & quot ; goal - directed & quot ; sub - parts into the Pp / ai machinery these sub - parts do not somehow & quot ; directly interface the world & quot ; but are & quot ; burried & quot ; within the hierarchy of the generative layers ; so they not care about people or objects or whatever but about some abstract variablesthey are quite & quot ; agenty & quot ; optimizing some utility functionfrom the point of view of such sub - agent other sub - agents inside of the same mind are possibly competitors ; at least some sub - agents likely have access to enough computi
abstract variablesthey are quite "agenty" optimizing some utility functionfrom the point of view of such sub-agent other sub-agents inside of the same mind are possibly competitors; at least some sub-agents likely have access to enough computing power to not only "care about what they are intended to care about" but do a basic modelling of other sub-agents; internal game theoretical mess ensues6. This hypothesis bridges the framework of PP/AI and the world of theories viewing the mind as a multi agent system. Multi-agent theories of mind have some introspective support in various styles of psychotherapy IFS meditative experience some rationality techniques. And also seem to be explain behavior where humans seem to "defect against themselves". Credence 0.8(I ["Q-0124 ]
PP/AI ["Q-0125 The framework and the world of theories viewing the mind as a multi agent system ?"] "
theories viewing the mind ["Q-0126 Of what the framework of Pp / ai and the world as a multi agent system ?"] "
a multi agent system ["Q-0127 This hypothesis bridges as what the framework of Pp / ai and the world of theories viewing viewing the mind ?"] "
internal game theoretical mess ensues6 ["Q-0128 This hypothesis what b b N N N of Pp / ai and the world of theories viewing the mind as a multi agent system ?"] "
internal game theoretical mess ensues6 ["Q-0129 This hypothesis bridges what the framework of Pp / ai and the world of theories viewing viewing as a multi agent system ?"] "
PP/AI and the world of theories ["Q-0130 Who viewing the mind as a multi agent system ?"] "
amp; 6 ["Q-0131 ]
hypothesis bridges the framework of PP/AI and the world of theories ["Q-0132 In what do multi - agent theories of mind have some introspective support of psychotherapy Ifs meditative experience some rationality techniques ?"] "
psychotherapy IFS ["Q-0133 Of what do multi - agent theories of mind have some introspective support in various styles meditative experience some rationality techniques ?"] "
introspective support ["Q-0134 What do multi - agent theories of mind have in various styles of psychotherapy Ifs meditative experience some rationality techniques ?"] "
Multi-agent theories of mind ["Q-0135 Who have some introspective support in various styles of psychotherapy Ifs meditative experience some rationality techniques ?"] "
Credence 0.8(I guess a predictive processing purist would probably describe 5. & 6 ["Q-0136 ]
themselves". Credence 0.8(I ["Q-0137 And also seem to be explain behavior where against whom humans seem to & quot ; defect & quot ; ?"] "
Multi-agent theories of mind ["Q-0138 What and also seem to be explain where humans seem to & quot ; defect against themselves & quot ; ?"] "
Multi-agent ["Q-0139 Who also seem to be explain behavior where humans seem to & quot ; defect against themselves & quot ; ?"] "
right" even at the cost of the actions being actually harmful for them in some important sense. How it may match everyday experience for example here. My credence in active inference as a basic design mechanism 0.63. So far the description was broadly Bayesian/optimal/"unbounded". Unbounded predictive processing / active inference agent is a fearsome monster in a similar way as a fully rational VNM agent. The other key ingredient is bounded rationality. Most biases are consequence of computational/signal processing boundedness both in PP/AI models and non PP/AI models. My credence in boundedness being a key ingredient 0.994. What is missing from the picture so far is some sort of "goals" or "motivation" (or in other view a way how evolution can insert into the brain some signal). How Karl Friston deals with this e.g.We start with the premise that adaptive agents or pheno-types must occupy a limited repertoire of physical states. For a phenotype to , amp; 6 " ["Q-0141 ]
amp; 6 ["Q-0142 ]
predictive processing purist would probably describe 5. & ["Q-0143 8 ( what you g N would probably describe 5 ?"] "
& ["Q-0144 8 ( you guess what a predictive processing purist would probably d N ?"] "
Credence 0.8(I ["Q-0145 Who guess a predictive processing purist would probably describe 5 ?"] "
predictive processing purist ["Q-0146 Who would probably describe 5 ?"] "
& ["Q-0147 8 ( you guess how much a predictive processing purist would probably d N ?"] "
amp; 6 ["Q-0148 ]
0.994. What is missing from the picture so far is some sort of "goals" or "motivation" (or in other view a way how evolution can insert into the brain some signal). How Karl Friston deals with this e.g.We start with the premise that adaptive agents or pheno-types must occupy a limited repertoire of physical states. For a phenotype to exist it must possess defining characteristics or traits; both in terms of its morphology and exchange with the environment. These traits essentially limit the agent to a bounded region in the space of all states it could be in. Once outside these bounds it ceases to possess that trait (cf. a fish out of water).is something which I find unsatisfactory. My credence in this being complete explanation 0.15. My hypothesis is ca. this evolution inserts some "goal-directed" sub-parts into the PP/AI machinery these sub-parts do not somehow "directly interface the world" but are "burried" within the hierarchy o , amp; 6 " ["Q-0150 As just what a case of competing competing not adding anything conceptually new ?"] "
& ["Q-0151 As just a case of competing what predictive models not adding conceptually new ?"] "
& 6 ["Q-0152 Who competing predictive models not adding anything conceptually new ?"] "
competing predictive models ["Q-0153 Who not adding anything conceptually new ?"] "
Credence 0.8(I ["Q-0154 ]
a graph ["Q-0155 ) now what you would actually want to draw how strongly 1 ?"] "
new.)Now I ["Q-0156 Who would actually want to draw a graph how strongly 1 ?"] "
Credence 0.8(I ["Q-0157 ]
Credence 0.8(I guess a predictive processing purist would probably describe 5. & 6 ["Q-0158 ]
amp; 6 ["Q-0159 ]
Credence 0.8(I ["Q-0160 ]
various research questions ["Q-0161 Motivate different possible problems with alignment and how what these problems m N ?"] "
alignment ["Q-0162 Who motivate various research questions ?"] "
Credence 0.8(I guess a predictive processing purist would probably describe 5. & 6 ["Q-0163 ]
sub-agents ["Q-0164 For example the question about understanding is hierarchical modelling interesting even if there is no multi - agency scaling can be motivated even without active inference etc ?"] "
active inference ["Q-0165 For example the question about understanding hierarchical modelling is interesting even if there is without what can no multi - agency scaling of sub - agents be motivated even ?"] "
hierarchical modelling ["Q-0166 What for example the question about understanding understanding is interesting even if there is no multi - agency scaling of sub - agents can be motivated even without active inference etc ?"] "
various research questions ["Q-0167 For example the question about understanding what is hierarchical modelling interesting even if there is no multi - agency scaling of sub - agents can be motivated even without active inference etc ?"] "
no multi-agency scaling ["Q-0168 For example the question about understanding what is hierarchical modelling interesting even if there is of sub - agents can be motivated even without active inference etc ?"] "
various research questions ["Q-0169 For example the question about understanding hierarchical modelling is interesting even if there is what can no multi - agency scaling of sub - agents be motivated even without active inference etc ?"] "
various research questions ["Q-0170 Who understanding hierarchical modelling is interesting even if there is no multi - agency scaling of sub - agents can be motivated even without active inference etc ?"] "
understanding hierarchical modelling ["Q-0171 Who is interesting even if there is no multi - agency scaling of sub - agents can be motivated even without active inference etc ?"] "
sub-agents ["Q-0172 Who can be motivated even without active inference etc ?"] "
amp; 6 ["Q-0173 ]
amp; 6 ["Q-0174 ]
The thing I'm ["Q-01 Who trying t T argue is complex and yes it is something in the middle between the two options ?"] "
I'm ["Q-02 Who is something in the middle between the two options ?"] "
match ["Q-03 Who tested processing ( ( data / experience ?"] "
theoretical beauty ["Q-04 Who think you should take active inference seriously as an architectural principle ?"] "
theoretical beauty I think ["Q-05 Who should take active inference seriously as an architectural principle ?"] "
active inference ["Q-06 Who comes from an ability to do inner simulations ?"] "
harmful ["Q-07 How for what may it match everyday experience here ?"] "
everyday experience ["Q-08 How what may it match for example here ?"] "
right" ["Q-09 Who may match everyday experience for example here ?"] "
sub-parts into the PP/AI machinery these sub-parts do not somehow "directly interface the world" but are "burried" within the hierarchy of the generative layers; so they not care about people or objects or whatever but about some abstract variablesthey are quite "agenty" ["Q-10 Who was broadly Bayesian / optimal/ & quot ; unbounded & quot ; ?"] "
Unbounded predictive processing / active inference agent ["Q-11 Who is a fearsome monster in a similar way as a fully rational Vnm agent ?"] "
rationality ["Q-12 What is the other key ingredient bounded ?"] "
The other key ingredient ["Q-13 Who is bounded rationality ?"] "
consequence of computational/signal processing boundedness both in PP/AI models and non PP/AI models. My credence in boundedness being a key ingredient 0.994 ["Q-14 What are most biases of computational / signal processing boundedness both in Pp / ai models and non Pp / ai models ?"] "
Most biases ["Q-15 Who are consequence of computational / signal processing boundedness both in Pp / ai models and non Pp / ai models ?"] "
a key ingredient 0.994 ["Q-16 What your credence in boundedness being being ?"] "
My credence in boundedness ["Q-17 Who being a key ingredient 0 ?"] "
boundedness ["Q-18 What is in what missing from the picture so far missing some sort of & quot ; goals & quot ; or & quot ; motivation & quot ; ( or how evolution can insert into the brain some signal ) ?"] "
the brain some signal ["Q-19 What is missing from the picture so far is some sort of & quot ; goals & quot ; or & quot ; motivation & quot ; ( or in other view a way how into what can evolution insert ) ?"] "
quot;motivation" ["Q-20 What is what missing from the picture so far missing of & quot ; goals & quot ; or & quot ; motivation & quot ; ( or in other view a way how evolution can insert into the brain some signal ) ?"] "
Karl Friston ["Q-21 Who start with the premise that adaptive agents or pheno - types must occupy a limited repertoire of physical states ?"] "
adaptive agents or pheno-types ["Q-22 Who must occupy a limited repertoire of physical states ?"] "
phenotype ["Q-23 Who must possess defining characteristics or traits ; both in terms of its morphology and exchange with the environment ?"] "
characteristics or traits; both in terms of its morphology and exchange with the environment ["Q-24 What these traits essentially l N to a bounded region in the space of all states it could be in ?"] "
Karl Friston deals with this e.g.We start with the premise that adaptive agents or pheno-types must occupy a limited repertoire of physical states. For a phenotype to exist it must possess defining characteristics or traits; both in terms of its morphology and exchange with the environment. These traits ["Q-25 Who essentially limit the agent to a bounded region in the space of all states it could be in ?"] "
the agent to a bounded region in the space of all states ["Q-26 Who could be in ?"] "
Karl Friston ["Q-27 Who ceases to possess that trait ( cf ?"] "
fish ["Q-28 Who find unsatisfactory ?"] "
predictive processing ["Q-29 What your credence in this being being ?"] "
0.15 ["Q-30 Who being complete explanation 0 ?"] "
My ["Q-31 Whose hypothesis is ca ?"] "
Credence 0.8(I ["Q-32 Who is ca ?"] "
PP/AI and the world of theories ["Q-33 Who viewing the mind as a multi agent system ?"] "
introspective support ["Q-34 What do multi - agent theories of mind have in various styles of psychotherapy Ifs meditative experience some rationality techniques ?"] "
Multi-agent theories of mind ["Q-35 Who have some introspective support in various styles of psychotherapy Ifs meditative experience some rationality techniques ?"] "
Multi-agent theories of mind have some introspective support in various styles of psychotherapy IFS meditative experience some rationality techniques ["Q-36 What and also seem to be explain where humans seem to & quot ; defect against themselves & quot ; ?"] "
Multi-agent ["Q-37 Who also seem to be explain behavior where humans seem to & quot ; defect against themselves & quot ; ?"] "
abstract variablesthey are quite "agenty" optimizing some utility functionfrom the point of view of such sub-agent other sub-agents inside of the same mind are possibly competitors; at least some sub-agents likely have access to enough computing power to not only "care about what they are intended to care about" but do a basic modelling of other sub-agents; internal game theoretical mess ensues6. This hypothesis bridges the framework of PP/AI and the world of theories viewing the mind as a multi agent system. Multi-agent theories of mind have some introspective support in various styles of psychotherapy IFS meditative experience some rationality techniques. And also seem to be explain behavior where humans ["Q-38 Who seem to & quot ; defect against themselves & quot ; ?"] "
Credence 0.8(I ["Q-39 Who guess a predictive processing purist would probably describe 5 ?"] "
predictive processing purist ["Q-40 Who would probably describe 5 ?"] "
& 6. as just a case of competing predictive models not adding anything conceptually new.)Now ["Q-41 Who competing predictive models not adding anything conceptually new ?"] "
competing predictive models ["Q-42 Who not adding anything conceptually new ?"] "
competing predictive models ["Q-43 Who would actually want to draw a graph how strongly 1 ?"] "
alignment ["Q-44 Who motivate various research questions ?"] "
hierarchical modelling ["Q-45 What for example the question about understanding understanding is interesting even if there is no multi - agency scaling of sub - agents can be motivated even without active inference etc ?"] "
Credence 0.8(I guess a predictive processing purist would probably describe 5. & 6. as just a case of competing predictive models not adding anything conceptually new.)Now I would actually want to draw a graph how strongly 1...6. motivate different possible problems with alignment and how these problems motivate various research questions ["Q-46 Who understanding hierarchical modelling is interesting even if there is no multi - agency scaling of sub - agents can be motivated even without active inference etc ?"] "
understanding hierarchical modelling ["Q-47 Who is interesting even if there is no multi - agency scaling of sub - agents can be motivated even without active inference etc ?"] "
sub-agents ["Q-48 Who can be motivated even without active inference etc ?"] "
I'm ["Q-01 Comment by Jan_kulveit on Multi - agent predictive minds and Ai alignment the thing you & # x27 ; m trying trying argue is complex and yes it is something in the middle between the two options ?"] "
I'm ["Q-02 Comment by Jan_kulveit on Multi - agent predictive minds and Ai alignment the thing you & # x27 ; m trying trying argue is complex and yes it is something in the middle between the two options ?"] "
middle ["Q-03 Comment by Jan_kulveit on Multi - agent predictive minds and Ai alignment the thing you & # x27 ; m trying t T argue is complex and yes in what is it something between the two options ?"] "
the two options.1 ["Q-04 Comment by Jan_kulveit on Multi - agent predictive minds and Ai alignment the thing you & # x27 ; m trying t T argue is complex and yes between what is it something in the middle ?"] "
trying ["Q-05 Comment by Jan_kulveit on Multi - agent predictive minds and Ai alignment the t N you & # x27 ; m trying t t N N N argue is complex and yes it is something in the middle between the two options ?"] "
I'm ["Q-06 Comment by Jan_kulveit on Multi - agent predictive minds and Ai alignment the thing you & # x27 ; m trying t T argue is complex and whom N is something in the middle between the two options ?"] "
it is something ["Q-07 Comment by Jan_kulveit on Multi - agent predictive minds and Ai alignment the thing you & # x27 ; m trying t T argue is complex and yes what is it in the middle between the two options ?"] "
I'm ["Q-08 Comment by Jan_kulveit on Multi - agent predictive minds and Ai alignment the thing you & # x27 ; m trying whose argue is complex and yes it is something in the middle between the two options ?"] "
The thing I'm ["Q-09 Who trying t T argue is complex and yes it is something in the middle between the two options ?"] "
I'm ["Q-010 Who is something in the middle between the two options ?"] "
I'm ["Q-011 Comment by Jan_kulveit on Multi - agent predictive minds and Ai alignment the thing you & # x27 ; t how much m trying trying argue is complex and yes it is something in the middle between the two options ?"] "
I'm ["Q-012 Comment by Jan_kulveit on Multi - agent predictive minds and Ai alignment the t N you & # x27 ; m trying how much t t N N N argue is complex and yes it is something in the middle between the two options ?"] "
amp; 6 ["Q-013 ]
amp; 6 ["Q-014 ]
match ["Q-015 Who tested processing ( ( data / experience ?"] "
optimal/"unbounded". ["Q-016 ]
Credence 0.8(I guess a predictive processing purist would probably describe 5. & 6 ["Q-017 ]
Credence 0.8(I ["Q-018 ]
an architectural principle ["Q-019 Because of the theoretical beauty you think as what should you take active inference seriously ?"] "
predictive processing in a narrow sense 0.952 ["Q-020 Because of whom the theoretical beauty you t N should take active inference seriously as an architectural principle ?"] "
active inference ["Q-021 Because of the theoretical beauty you think what should you take seriously as an architectural principle ?"] "
theoretical beauty I ["Q-022 Who think you should take active inference seriously as an architectural principle ?"] "
theoretical beauty I think ["Q-023 Who should take active inference seriously as an architectural principle ?"] "
amp; 6 ["Q-024 ]
an ability ["Q-025 Vague introspective evidence for from what does active inference comes to do inner simulations ?"] "
inner simulations ["Q-026 Vague introspective evidence for what does active inference comes from an ability to do ?"] "
active inference ["Q-027 Who comes from an ability to do inner simulations ?"] "
amp; 6 ["Q-028 ]
the principle ["Q-029 Possibly from what can boldest claim you make alone is that people will have a bias to take actions which will & quot ; prove their models are right & quot ; even at the cost of the actions being actually harmful for them in some important sense ?"] "
right" ["Q-030 Possibly boldest claim you can make that what is from the principle alone will have a bias to take actions which will & quot ; prove their models are right & quot ; even at the cost of the actions being actually harmful for them in some important sense ?"] "
the cost ["Q-031 Possibly boldest claim you can make from the principle alone is that people will have a bias to take actions which will & quot ; prove at what are their models right & quot ; even of the actions being actually harmful for them in some important sense ?"] "
right" ["Q-032 Possibly boldest claim you can make from the principle alone is that people will have a bias to take actions which will & quot ; prove of what are their models right & quot ; even at the cost actually harmful for them in some important sense ?"] "
right" ["Q-033 Possibly boldest claim you can make from the principle alone is that people will have a bias to take actions which will & quot ; prove their models are right & quot ; even for whom at the cost of the actions being being actually harmful in some important sense ?"] "
some important sense ["Q-034 Possibly boldest claim you can make from the principle alone is that people will have a bias to take actions which will & quot ; prove their models are right & quot ; even in what at the cost of the actions being being actually harmful for them ?"] "
a bias ["Q-035 Possibly boldest claim you can make from the principle alone is what will that people have to take actions which will & quot ; prove their models are right & quot ; even at the cost of the actions being actually harmful for them in some important sense ?"] "
right" ["Q-036 Possibly boldest claim you can make from the principle alone is what will that people have a bias to take which will & quot ; prove their models are right & quot ; even at the cost of the actions being actually harmful for them in some important sense ?"] "
"prove their models are right" ["Q-037 Possibly boldest claim you can make from the principle alone is that people will have a bias to take actions which will what ; prove are right & quot ; even at the cost of the actions being actually harmful for them in some important sense ?"] "
right" ["Q-038 Possibly boldest claim you can make from the principle alone is that people will have a bias to take actions which will & quot ; prove whose models are right & quot ; even at the cost of the actions being actually harmful for them in some important sense ?"] "
0.994 ["Q-039 ]
harmful ["Q-040 How for what may it match everyday experience here ?"] "
everyday experience ["Q-041 How what may it match for example here ?"] "
people will have a bias to take actions which will "prove their models ["Q-042 Who may match everyday experience for example here ?"] "
amp; 6 ["Q-043 ]
amp; 6 ["Q-044 ]
Credence 0.8(I ["Q-045 ]
Bayesian/optimal/"unbounded". ["Q-046 So far did the description was & quot ; unbounded & quot ; ?"] "
sub-parts into the PP/AI machinery these sub-parts do not somehow "directly interface the world" but are "burried" ["Q-047 Who was broadly Bayesian / optimal/ & quot ; unbounded & quot ; ?"] "
amp; 6 ["Q-048 ]
optimal/"unbounded". ["Q-049 Unbounded predictive processing / in what is active inference agent a fearsome monster as a fully rational Vnm agent ?"] "
optimal/"unbounded". ["Q-050 Unbounded predictive processing / where is active inference agent a fearsome monster in a similar way ?"] "
fearsome monster ["Q-051 Unbounded predictive processing / what is active inference agent in a similar way as a fully rational Vnm agent ?"] "
Unbounded predictive processing / active inference agent ["Q-052 Who is a fearsome monster in a similar way as a fully rational Vnm agent ?"] "
amp; 6 ["Q-053 ]
rationality ["Q-054 What is the other key ingredient bounded ?"] "
The other key ingredient ["Q-055 Who is bounded rationality ?"] "
Credence 0.8(I ["Q-056 ]
computational/signal processing boundedness ["Q-057 Of what are most biases consequence in Pp / ai models and non Pp / ai models ?"] "
Most biases are consequence of computational/signal processing boundedness both in PP/AI models and non PP/AI models ["Q-058 Are most biases consequence of computational / signal processing boundedness both and non Pp / ai models ?"] "
consequence of computational/signal processing boundedness both in PP/AI models and non PP/AI models. My credence in boundedness being a key ingredient 0.994 ["Q-059 What are most biases of computational / signal processing boundedness both in Pp / ai models and non Pp / ai models ?"] "
Most biases ["Q-060 Who are consequence of computational / signal processing boundedness both in Pp / ai models and non Pp / ai models ?"] "
Credence 0.8(I guess a predictive processing purist would probably describe 5. & 6 ["Q-061 ]
a key ingredient 0.994 ["Q-062 What your credence in boundedness being being ?"] "
PP/AI models and non PP/AI models. My credence in boundedness ["Q-063 Who being a key ingredient 0 ?"] "
amp; 6 ["Q-064 ]
Credence 0.8(I ["Q-065 ]
boundedness ["Q-066 What is in what missing from the picture so far missing some sort of & quot ; goals & quot ; or & quot ; motivation & quot ; ( or how evolution can insert into the brain some signal ) ?"] "
the brain some signal ["Q-067 What is missing from the picture so far is some sort of & quot ; goals & quot ; or & quot ; motivation & quot ; ( or in other view a way how into what can evolution insert ) ?"] "
quot;motivation" ["Q-068 What is what missing from the picture so far missing of & quot ; goals & quot ; or & quot ; motivation & quot ; ( or in other view a way how evolution can insert into the brain some signal ) ?"] "
amp; 6 ["Q-069 ]
optimal/"unbounded". ["Q-070 ]
optimal/"unbounded". ["Q-071 ]
the premise ["Q-072 With what you start that adaptive agents or pheno - types must occupy a limited repertoire of physical states ?"] "
physical states ["Q-073 We start with the premise that of what must adaptive agents or pheno - types occupy a limited repertoire ?"] "
limited repertoire ["Q-074 We start with the premise that what must adaptive agents or pheno - types occupy of physical states ?"] "
Karl Friston ["Q-075 Who start with the premise that adaptive agents or pheno - types must occupy a limited repertoire of physical states ?"] "
adaptive agents or pheno-types ["Q-076 Who must occupy a limited repertoire of physical states ?"] "
Credence 0.8(I guess a predictive processing purist would probably describe 5. & 6 ["Q-077 ]
limit the agent to a bounded region ["Q-078 For a phenotype to exist in what must it possess defining characteristics or traits ; both of its morphology and exchange with the environment ?"] "
morphology ["Q-079 For a phenotype to exist of what must it possess defining characteristics or traits ; both in terms and exchange with the environment ?"] "
the environment ["Q-080 For a phenotype to exist with what must it possess defining characteristics or traits ; both in terms of its morphology and exchange ?"] "
characteristics ["Q-081 For a phenotype to exist what must it possess defining or traits ; both in terms of its morphology and exchange with the environment ?"] "
phenotype ["Q-082 Who must possess defining characteristics or traits ; both in terms of its morphology and exchange with the environment ?"] "
amp; 6 ["Q-083 ]
a bounded region ["Q-084 To what these traits essentially limit the agent in the space of all states it could be in ?"] "
the space ["Q-085 These traits essentially limit the agent to in what did a bounded region of all states it could be in ?"] "
characteristics or traits; both in terms of its morphology and exchange with the environment ["Q-086 Of what these traits essentially limit the agent to a bounded region in the space could be in ?"] "
characteristics or traits; both in terms of its morphology and exchange with the environment ["Q-087 What these traits essentially l N to a bounded region in the space of all states it could be in ?"] "
Karl Friston deals with this e.g.We start with the premise that adaptive agents or pheno-types must occupy a limited repertoire of physical states. For a phenotype to exist it must possess defining characteristics or traits; both in terms of its morphology and exchange with the environment. These traits ["Q-088 Who essentially limit the agent to a bounded region in the space of all states it could be in ?"] "
the agent to a bounded region in the space of all states ["Q-089 Who could be in ?"] "
& 6 ["Q-090 ]
trait ["Q-091 Once that what outside these bounds it ceases to possess ( cf ?"] "
outside ["Q-092 Who ceases to possess that trait ( cf ?"] "
0.994 ["Q-093 ]
0.994 ["Q-094 ]
a fish out of water).is ["Q-095 Who find unsatisfactory ?"] "
Credence 0.8(I guess a predictive processing purist would probably describe 5. & 6 ["Q-096 ]
boundedness ["Q-097 What your credence in this being being ?"] "
0.15 ["Q-098 Who being complete explanation 0 ?"] "
0.994 ["Q-099 ]
optimal/"unbounded". ["Q-0100 ]
My ["Q-0101 Whose hypothesis is ca ?"] "
My hypothesis ["Q-0102 Who is ca ?"] "
Credence 0.8(I guess a predictive processing purist would probably describe 5. & 6 ["Q-0103 ]
enough computing power ["Q-0104 This evolution inserts some & quot ; goal - directed & quot ; sub - parts into the Pp / ai machinery these sub - parts do not somehow & quot ; directly interface the world & quot ; but are & quot ; burried & quot ; within the hierarchy of the generative layers ; so they not care about people or objects or whatever but about some abstract variablesthey are quite & quot ; agenty & quot ; optimizing some utility functionfrom the point of view of such sub - agent other sub - agents inside of to what are the same mind possibly competitors ; at least some sub - agents likely have access
the point ["Q-0105 Some & quot ; goal - directed & quot ; sub - parts do not somehow & quot ; directly interface the world & quot ; but are & quot ; burried & quot ; within the hierarchy of the generative layers ; so they not care about people or objects or whatever but about some abstract variablesthey are quite & quot ; agenty & quot ; optimizing some utility functionfrom the point of view of such sub - agent other sub - agents inside of the same mind are possibly competitors ; at least some sub - agents likely have access to enough computing power to not only & quot ; care about what they are intended t
the hierarchy ["Q-0106 This evolution inserts some & quot ; goal - directed & quot ; sub - parts into the Pp / ai machinery these sub - parts do not somehow & quot ; directly interface the world & quot ; but are within what ; burried & quot ; of the generative layers ; so they not care about people or objects or whatever but about some abstract variablesthey are quite & quot ; agenty & quot ; optimizing some utility functionfrom the point of view of such sub - agent other sub - agents inside of the same mind are possibly competitors ; at least some sub - agents likely have access to enough computing power to
the point ["Q-0107 This evolution inserts some & quot ; goal - directed & quot ; sub - parts into the Pp / ai machinery these sub - parts do not somehow & quot ; directly interface the world & quot ; but are of what ; burried & quot ; within the hierarchy ; so they not care about people or objects or whatever but about some abstract variablesthey are quite & quot ; agenty & quot ; optimizing some utility functionfrom the point of view of such sub - agent other sub - agents inside of the same mind are possibly competitors ; at least some sub - agents likely have access to enough computing power to not only
people ["Q-0108 This evolution inserts some & quot ; goal - directed & quot ; sub - parts into the Pp / ai machinery these sub - parts do not somehow & quot ; directly interface the world & quot ; but are & quot ; burried & quot ; within the hierarchy of the generative layers ; so about what they not care or objects or whatever but about some abstract variablesthey are quite & quot ; agenty & quot ; optimizing some utility functionfrom the point of view of such sub - agent other sub - agents inside of the same mind are possibly competitors ; at least some sub - agents likely have access to enough computing"
abstract variablesthey are quite "agenty" optimizing some utility functionfrom the point ["Q-0109 This evolution inserts some & quot ; goal - directed & quot ; sub - parts into the Pp / ai machinery these sub - parts do not somehow & quot ; directly interface the world & quot ; but are & quot ; burried & quot ; within the hierarchy of the generative layers ; so about what they not care about people or objects or whatever but are quite & quot ; agenty & quot ; optimizing some utility functionfrom the point of view of such sub - agent other sub - agents inside of the same mind are possibly competitors ; at least some sub - a
utility functionfrom the point of view ["Q-0110 This evolution inserts some & quot ; goal - directed & quot ; sub - parts into the Pp / ai machinery these sub - parts do not somehow & quot ; directly interface the world & quot ; but are & quot ; burried & quot ; within the hierarchy of the generative layers ; so they not care about people or objects or whatever but about some abstract variablesthey are quite & quot ; agenty & quot ; of what the point of such sub - agent other sub - agents inside of the same mind are possibly competitors ; at least some sub - agents likely have access to enough computing power to"
quot;burried" ["Q-0111 This evolution inserts some & quot ; goal - directed & quot ; sub - parts into the Pp / ai machinery these sub - parts do not somehow & quot ; directly interface the world & quot ; but are & quot ; burried & quot ; within the hierarchy of the generative layers ; so they not care about people or objects or whatever but about some abstract variablesthey are quite & quot ; agenty & quot ; the point of view inside of the same mind are possibly competitors ; at least some sub - agents likely have access to enough computing power to not only & quot ; care about what they are intended t
utility functionfrom ["Q-0112 This evolution inserts some & quot ; goal - directed & quot ; sub - parts into the Pp / ai machinery these sub - parts do not somehow & quot ; directly interface the world & quot ; but are & quot ; burried & quot ; within the hierarchy of the generative layers ; so they not care about people or objects or whatever but about some abstract variablesthey are quite & quot ; agenty & quot ; inside what the point of view of such sub - agent other sub - agents are possibly competitors ; at least some sub - agents likely have access to enough computing power to not only & quot ; care"
quot;burried" ["Q-0113 This evolution inserts some & quot ; goal - directed & quot ; sub - parts into the Pp / ai machinery these sub - parts do not somehow & quot ; directly interface the world & quot ; but are & quot ; burried & quot ; within the hierarchy of the generative layers ; so they not care about people or objects or whatever but about some abstract variablesthey are quite & quot ; agenty & quot ; optimizing some utility functionfrom the point of view of such sub - agent other sub - agents inside of are the same mind possibly competitors ; likely have access to enough computing power to not only &
the point ["Q-0114 This evolution inserts some & quot ; goal - directed & quot ; sub - parts into the Pp / ai machinery these sub - parts do not somehow & quot ; directly interface the world & quot ; but are & quot ; burried & quot ; within the hierarchy of the generative layers ; so they not care about people or objects or whatever but about some abstract variablesthey are quite & quot ; agenty & quot ; optimizing some utility functionfrom the point of view of such sub - agent other sub - agents inside of the same mind are possibly competitors ; at least some sub - agents likely have access to enough computi
the point ["Q-0115 This evolution what you you N N N & quot ; goal - directed & quot ; sub - parts into the Pp / ai machinery these sub - parts do not somehow & quot ; directly interface the world & quot ; but are & quot ; burried & quot ; within the hierarchy of the generative layers ; so they not care about people or objects or whatever but about some abstract variablesthey are quite & quot ; agenty & quot ; optimizing some utility functionfrom the point of view of such sub - agent other sub - agents inside of the same mind are possibly competitors ; at least some sub - agents likely have access to"
the point ["Q-0116 This evolution inserts some & quot ; goal - directed & quot ; do sub - parts into the Pp / ai machinery these sub - parts do not somehow & quot ; directly you N & quot ; but are & quot ; burried & quot ; within the hierarchy of the generative layers ; so they not care about people or objects or whatever but about some abstract variablesthey are quite & quot ; agenty & quot ; optimizing some utility functionfrom the point of view of such sub - agent other sub - agents inside of the same mind are possibly competitors ; at least some sub - agents likely have access to enough computing power
utility functionfrom ["Q-0117 This evolution inserts some & quot ; goal - directed & quot ; sub - parts into the Pp / ai machinery these sub - parts do not somehow & quot ; directly interface the world & quot ; but are & quot ; burried & quot ; within the hierarchy of the generative layers ; so they not care about people or objects or whatever what are but about some abstract variablesthey quite & quot ; agenty & quot ; optimizing functionfrom the point of view of such sub - agent other sub - agents inside of the same mind are possibly competitors ; at least some sub - agents likely have access to enough computi
utility functionfrom the point ["Q-0118 This evolution inserts some & quot ; goal - directed & quot ; sub - parts into the Pp / ai machinery these sub - parts do not somehow & quot ; directly interface the world & quot ; but are & quot ; burried & quot ; within the hierarchy of the generative layers ; so they not care about people or objects or whatever but about some abstract variablesthey are quite & quot ; agenty & quot ; what you of view of such sub - agent other sub - agents inside of the same mind are possibly competitors ; at least some sub - agents likely have access to enough computing power to not o
competitors ["Q-0119 This evolution inserts some & quot ; goal - directed & quot ; sub - parts into the Pp / ai machinery these sub - parts do not somehow & quot ; directly interface the world & quot ; but are & quot ; burried & quot ; within the hierarchy of the generative layers ; so they not care about people or objects or whatever but about some abstract variablesthey are quite & quot ; agenty & quot ; optimizing some utility functionfrom the point of view of such sub - agent other sub - agents inside of what are the same mind ; at least some sub - agents likely have access to enough computing power to
the same mind ["Q-0120 This evolution inserts some & quot ; goal - directed & quot ; sub - parts into the Pp / ai machinery these sub - parts do not somehow & quot ; directly interface the world & quot ; but are & quot ; burried & quot ; within the hierarchy of the generative layers ; so they not care about people or objects or whatever but about some abstract variablesthey are quite & quot ; agenty & quot ; optimizing some utility functionfrom the point of view of such sub - agent other sub - agents inside of what are the same mind possibly competitors ; at least some sub - agents likely have to enough compu
the same mind ["Q-0121 This evolution inserts some & quot ; goal - directed & quot ; sub - parts into the Pp / ai machinery these sub - parts do not somehow & quot ; directly interface the world & quot ; but are & quot ; burried & quot ; within the hierarchy of the generative layers ; so they not care about people or objects or whatever but about some abstract variablesthey are quite & quot ; agenty & quot ; optimizing some utility functionfrom the point of view of such sub - agent other sub - agents inside of what are the same mind possibly competitors ; at least some sub - agents likely have access to enoug
the point ["Q-0122 This evolution inserts some & quot ; goal - directed & quot ; sub - parts into the Pp / ai machinery these sub - parts do not somehow & quot ; directly interface the world & quot ; but are & quot ; burried & quot ; within the hierarchy of the generative layers ; so they not care about people or objects or whatever but about some abstract variablesthey are quite & quot ; agenty & quot ; optimizing some utility functionfrom the point of view of such sub - agent other sub - agents inside of the same mind are possibly competitors ; at least some sub - agents likely have access to enough computi
the point ["Q-0123 This evolution inserts some & quot ; goal - directed & quot ; sub - parts into the Pp / ai machinery these sub - parts do not somehow & quot ; directly interface the world & quot ; but are & quot ; burried & quot ; within the hierarchy of the generative layers ; so they not care about people or objects or whatever but about some abstract variablesthey are quite & quot ; agenty & quot ; optimizing some utility functionfrom the point of view of such sub - agent other sub - agents inside of the same mind are possibly competitors ; at least some sub - agents likely have access to enough computi
abstract variablesthey are quite "agenty" optimizing some utility functionfrom the point of view of such sub-agent other sub-agents inside of the same mind are possibly competitors; at least some sub-agents likely have access to enough computing power to not only "care about what they are intended to care about" but do a basic modelling of other sub-agents; internal game theoretical mess ensues6. This hypothesis bridges the framework of PP/AI and the world of theories viewing the mind as a multi agent system. Multi-agent theories of mind have some introspective support in various styles of psychotherapy IFS meditative experience some rationality techniques. And also seem to be explain behavior where humans seem to "defect against themselves". Credence 0.8(I ["Q-0124 ]
PP/AI ["Q-0125 The framework and the world of theories viewing the mind as a multi agent system ?"] "
theories viewing the mind ["Q-0126 Of what the framework of Pp / ai and the world as a multi agent system ?"] "
a multi agent system ["Q-0127 This hypothesis bridges as what the framework of Pp / ai and the world of theories viewing viewing the mind ?"] "
internal game theoretical mess ensues6 ["Q-0128 This hypothesis what b b N N N of Pp / ai and the world of theories viewing the mind as a multi agent system ?"] "
internal game theoretical mess ensues6 ["Q-0129 This hypothesis bridges what the framework of Pp / ai and the world of theories viewing viewing as a multi agent system ?"] "
PP/AI and the world of theories ["Q-0130 Who viewing the mind as a multi agent system ?"] "
amp; 6 ["Q-0131 ]
hypothesis bridges the framework of PP/AI and the world of theories ["Q-0132 In what do multi - agent theories of mind have some introspective support of psychotherapy Ifs meditative experience some rationality techniques ?"] "
psychotherapy IFS ["Q-0133 Of what do multi - agent theories of mind have some introspective support in various styles meditative experience some rationality techniques ?"] "
introspective support ["Q-0134 What do multi - agent theories of mind have in various styles of psychotherapy Ifs meditative experience some rationality techniques ?"] "
Multi-agent theories of mind ["Q-0135 Who have some introspective support in various styles of psychotherapy Ifs meditative experience some rationality techniques ?"] "
Credence 0.8(I guess a predictive processing purist would probably describe 5. & 6 ["Q-0136 ]
themselves". Credence 0.8(I ["Q-0137 And also seem to be explain behavior where against whom humans seem to & quot ; defect & quot ; ?"] "
Multi-agent theories of mind ["Q-0138 What and also seem to be explain where humans seem to & quot ; defect against themselves & quot ; ?"] "
Multi-agent ["Q-0139 Who also seem to be explain behavior where humans seem to & quot ; defect against themselves & quot ; ?"] "
right" even at the cost of the actions being actually harmful for them in some important sense. How it may match everyday experience for example here. My credence in active inference as a basic design mechanism 0.63. So far the description was broadly Bayesian/optimal/"unbounded". Unbounded predictive processing / active inference agent is a fearsome monster in a similar way as a fully rational VNM agent. The other key ingredient is bounded rationality. Most biases are consequence of computational/signal processing boundedness both in PP/AI models and non PP/AI models. My credence in boundedness being a key ingredient 0.994. What is missing from the picture so far is some sort of "goals" or "motivation" (or in other view a way how evolution can insert into the brain some signal). How Karl Friston deals with this e.g.We start with the premise that adaptive agents or pheno-types must occupy a limited repertoire of physical states. For a phenotype to , amp; 6 " ["Q-0141 ]
amp; 6 ["Q-0142 ]
predictive processing purist would probably describe 5. & ["Q-0143 8 ( what you g N would probably describe 5 ?"] "
& ["Q-0144 8 ( you guess what a predictive processing purist would probably d N ?"] "
Credence 0.8(I ["Q-0145 Who guess a predictive processing purist would probably describe 5 ?"] "
predictive processing purist ["Q-0146 Who would probably describe 5 ?"] "
& ["Q-0147 8 ( you guess how much a predictive processing purist would probably d N ?"] "
amp; 6 ["Q-0148 ]
0.994. What is missing from the picture so far is some sort of "goals" or "motivation" (or in other view a way how evolution can insert into the brain some signal). How Karl Friston deals with this e.g.We start with the premise that adaptive agents or pheno-types must occupy a limited repertoire of physical states. For a phenotype to exist it must possess defining characteristics or traits; both in terms of its morphology and exchange with the environment. These traits essentially limit the agent to a bounded region in the space of all states it could be in. Once outside these bounds it ceases to possess that trait (cf. a fish out of water).is something which I find unsatisfactory. My credence in this being complete explanation 0.15. My hypothesis is ca. this evolution inserts some "goal-directed" sub-parts into the PP/AI machinery these sub-parts do not somehow "directly interface the world" but are "burried" within the hierarchy o , amp; 6 " ["Q-0150 As just what a case of competing competing not adding anything conceptually new ?"] "
& ["Q-0151 As just a case of competing what predictive models not adding conceptually new ?"] "
& 6 ["Q-0152 Who competing predictive models not adding anything conceptually new ?"] "
competing predictive models ["Q-0153 Who not adding anything conceptually new ?"] "
Credence 0.8(I ["Q-0154 ]
a graph ["Q-0155 ) now what you would actually want to draw how strongly 1 ?"] "
new.)Now I ["Q-0156 Who would actually want to draw a graph how strongly 1 ?"] "
Credence 0.8(I ["Q-0157 ]
Credence 0.8(I guess a predictive processing purist would probably describe 5. & 6 ["Q-0158 ]
amp; 6 ["Q-0159 ]
Credence 0.8(I ["Q-0160 ]
various research questions ["Q-0161 Motivate different possible problems with alignment and how what these problems m N ?"] "
alignment ["Q-0162 Who motivate various research questions ?"] "
Credence 0.8(I guess a predictive processing purist would probably describe 5. & 6 ["Q-0163 ]
sub-agents ["Q-0164 For example the question about understanding is hierarchical modelling interesting even if there is no multi - agency scaling can be motivated even without active inference etc ?"] "
active inference ["Q-0165 For example the question about understanding hierarchical modelling is interesting even if there is without what can no multi - agency scaling of sub - agents be motivated even ?"] "
hierarchical modelling ["Q-0166 What for example the question about understanding understanding is interesting even if there is no multi - agency scaling of sub - agents can be motivated even without active inference etc ?"] "
various research questions ["Q-0167 For example the question about understanding what is hierarchical modelling interesting even if there is no multi - agency scaling of sub - agents can be motivated even without active inference etc ?"] "
no multi-agency scaling ["Q-0168 For example the question about understanding what is hierarchical modelling interesting even if there is of sub - agents can be motivated even without active inference etc ?"] "
various research questions ["Q-0169 For example the question about understanding hierarchical modelling is interesting even if there is what can no multi - agency scaling of sub - agents be motivated even without active inference etc ?"] "
various research questions ["Q-0170 Who understanding hierarchical modelling is interesting even if there is no multi - agency scaling of sub - agents can be motivated even without active inference etc ?"] "
understanding hierarchical modelling ["Q-0171 Who is interesting even if there is no multi - agency scaling of sub - agents can be motivated even without active inference etc ?"] "
sub-agents ["Q-0172 Who can be motivated even without active inference etc ?"] "
amp; 6 ["Q-0173 ]
amp; 6 ["Q-0174 ]
Jan_Kulveit ["Q-01 Who nicely written but the image of the Player hyperintelligent lovecraftian creature seems not really right to me ?"] "
Lovecraftian creature ["Q-02 Who seems not really right to me ?"] "
* How "smart" ["Q-03 Whom were in your picture have this powerful agent entity you see a mess of sub - agents interacting in a game theoretical way primarily among themselves ?"] "
In my picture ["Q-04 Who were i have this powerful agent entity you see a mess of sub - agents interacting in a game theoretical way primarily among themselves ?"] "
In my picture ["Q-05 Who have this powerful agent entity you see a mess of sub - agents interacting in a game theoretical way primarily among themselves ?"] "
powerful agent entity I ["Q-06 Who see a mess of sub - agents interacting in a game theoretical way primarily among themselves ?"] "
I see a mess of sub-agents ["Q-07 Who interacting in a game theoretical way primarily among themselves ?"] "
* How "smart" ["Q-08 Who are is quite high variance ?"] "
some "personality generating" ["Q-09 What you really like the descriptions how via what are the results of these interaction processed & quot ; personality generating & quot ; layers and how the result looks like & quot ; from within & quot ; ?"] "
intelligent or agent-like. What I really like the descriptions how the results of these interaction are processed via some "personality generating" layers and how the result looks like "from within". ["Q-10 What you really like the descriptions how what are the results of these interaction processed via some & quot ; personality generating & quot ; layers and how the result looks like & quot ; from within & quot ; ?"] "
interaction ["Q-11 Who are processed via some & quot ; personality generating & quot ; layers and how the result looks like & quot ; from within & quot ; ?"] "
within". ["Q-12 Who generating & quot ; layers and how the result looks like & quot ; from within & quot ; ?"] "
layers ["Q-13 Who looks like & quot ; from within & quot ; ?"] "
maximized" ["Q-14 Who should be the case is there is not enough bandwidth between Dna and the neural network ; evolution can input some sort of a signal like & quot ; there should be a subsystem tracking social status and that variable should be maximized & quot ; or tune some parameters but it likely does not have enough bandwidth to transfer some complex representation of the real evolutionary fitness ?"] "
layers and how the result looks like "from within". (* one reason for why this should be the case is there is not enough bandwidth between DNA and the neural network; evolution can input some sort of a signal like "there should be a subsystem tracking social status and that variable should be maximized" ["Q-15 Who is there is not enough bandwidth between Dna and the neural network ; evolution can input some sort of a signal like & quot ; there should be a subsystem tracking social status and that variable should be maximized & quot ; or tune some parameters but it likely does not have enough bandwidth to transfer some complex representation of the real evolutionary fitness ?"] "
evolution ["Q-16 Who can input some sort of a signal like & quot ; there should be a subsystem tracking social status and that variable should be maximized & quot ; or tune some parameters but it likely does not have enough bandwidth to transfer some complex representation of the real evolutionary fitness ?"] "
subsystem ["Q-17 Who tracking social status and that variable should be maximized & quot ; or tune some parameters but it likely does not have enough bandwidth to transfer some complex representation of the real evolutionary fitness ?"] "
tune some parameters ["Q-18 Who likely does not have enough bandwidth to transfer some complex representation of the real evolutionary fitness ?"] "
gets ["Q-19 Who created are sub - agenty parts which do not have direct access to reality and often instead of playing some masterful strategy in unison are bargaining or even defecting internally ) ?"] "
sub-agenty parts ["Q-20 Who playing some masterful strategy in unison are bargaining or even defecting internally ) ?"] "
unison ["Q-21 Who are bargaining or even defecting internally ) ?"] "
bargaining ["Q-22 Who even defecting internally ) ?"] "
Player vs. Character A Two-Level Model of Ethics It's ["Q-01 ]
Jan_Kulveit ["Q-02 Character a two - level Model of Ethics it & # x27 ; s nicely written but the image of the Player hyperintelligent to whom does lovecraftian creature seems not really right ?"] "
Player vs. ["Q-03 Character a two - level Model of Ethics it & # x27 ; of what did s nicely written but the image lovecraftian creature seems not really right to me ?"] "
Jan_Kulveit ["Q-04 Who nicely written but the image of the Player hyperintelligent lovecraftian creature seems not really right to me ?"] "
Lovecraftian creature ["Q-05 Who seems not really right to me ?"] "
Player vs. Character A Two-Level Model of Ethics It's ["Q-06 ]
sub-agents interacting ["Q-07 In your picture were i have do this powerful agent entity you see a mess in a game theoretical way primarily among themselves ?"] "
a mess of sub-agents interacting in a game ["Q-08 In your picture were i have this powerful agent entity you see in what a mess of sub - agents interacting interacting theoretical way primarily among themselves ?"] "
themselves ["Q-09 In your picture were i have this powerful agent entity you see among whom a mess of sub - agents interacting interacting in a game theoretical way primarily ?"] "
Lovecraftian creature seems not really right to me. In my picture were you have this powerful agent entity I see a mess of sub-agents interacting in a game theoretical way primarily among themselves.* How "smart" ["Q-010 Whom were in your picture have this powerful agent entity you see a mess of sub - agents interacting in a game theoretical way primarily among themselves ?"] "
powerful agent entity I ["Q-011 In your picture were what do i have see a mess of sub - agents interacting in a game theoretical way primarily among themselves ?"] "
mess of sub-agents interacting in a game theoretical way primarily among themselves.* How "smart" the results of the interactions are is quite high variance ["Q-012 In your picture were i have what do this powerful agent entity you see of sub - agents interacting in a game theoretical way primarily among themselves ?"] "
my ["Q-013 In whose picture were i have this powerful agent entity you see a mess of sub - agents interacting in a game theoretical way primarily among themselves ?"] "
In my picture ["Q-014 Who were i have this powerful agent entity you see a mess of sub - agents interacting in a game theoretical way primarily among themselves ?"] "
In my picture ["Q-015 Who have this powerful agent entity you see a mess of sub - agents interacting in a game theoretical way primarily among themselves ?"] "
powerful agent entity I ["Q-016 Who see a mess of sub - agents interacting in a game theoretical way primarily among themselves ?"] "
I see a mess of sub-agents ["Q-017 Who interacting in a game theoretical way primarily among themselves ?"] "
layers and how the result looks like "from ["Q-018 ]
high variance ["Q-019 * How & quot ; smart & quot ; what are the results of the interactions is ?"] "
* How "smart" ["Q-020 Who are is quite high variance ?"] "
layers and how the result looks like "from ["Q-021 ]
computing power ["Q-022 Obviously of what does the system has a lot but that is not really the same as being intelligent or agent - like ?"] "
high variance ["Q-023 Obviously the system has as what a lot of computing power but that computing not really the same intelligent or agent - like ?"] "
a lot of computing power ["Q-024 Obviously what does the system has of computing power but that is not really the same as being intelligent or agent - like ?"] "
power ["Q-025 Obviously the system has what a lot of computing computing but that is not really the same as being intelligent or agent - like ?"] "
a lot of computing power but that is not really the same ["Q-026 Obviously the system has what a lot of computing power but that computing same as being intelligent or agent - like ?"] "
layers and how the result looks like "from within". ["Q-027 ]
some "personality generating" ["Q-028 What you really like the descriptions how via what are the results of these interaction processed & quot ; personality generating & quot ; layers and how the result looks like & quot ; from within & quot ; ?"] "
high variance. Obviously the system has a lot of computing power but that is not really the same as being intelligent or agent-like. What I really like the descriptions how the results of these interaction are processed via some "personality generating" layers and how the result looks like "from within". ["Q-029 What you really like the descriptions how what are the results of these interaction processed via some & quot ; personality generating & quot ; layers and how the result looks like & quot ; from within & quot ; ?"] "
interaction ["Q-030 Who are processed via some & quot ; personality generating & quot ; layers and how the result looks like & quot ; from within & quot ; ?"] "
within". ["Q-031 Who generating & quot ; layers and how the result looks like & quot ; from within & quot ; ?"] "
layers ["Q-032 Who looks like & quot ; from within & quot ; ?"] "
Comment by Jan_Kulveit on Player vs. Character A Two-Level Model of Ethics It's ["Q-033 ]
DNA ["Q-034 ( * one reason for why this should be between what is the case there is not enough bandwidth and the neural network ; evolution can input some sort of a signal like & quot ; there should be a subsystem tracking social status and that variable should be maximized & quot ; or tune some parameters but it likely does not have enough bandwidth to transfer some complex representation of the real evolutionary fitness ?"] "
layers ["Q-035 ( * one reason for why this should be the case is there is not enough bandwidth between Dna and the neural network ; of what can evolution input some sort like & quot ; there should be a subsystem tracking social status and that variable should be maximized & quot ; or tune some parameters but it likely does not have enough bandwidth to transfer some complex representation of the real evolutionary fitness ?"] "
layers and how the result looks like "from within". ["Q-036 ( * one reason for why this should be the case is there is not enough bandwidth between Dna and the neural network ; evolution can input some sort of a signal like & quot ; there should be a subsystem tracking social status and that variable should be maximized & quot ; or tune of what does some parameters but it likely does not have enough bandwidth to transfer some complex representation ?"] "
layers and how the result looks like "from within". ["Q-037 ( * one reason for why what should this be is there is not enough bandwidth between Dna and the neural network ; evolution can input some sort of a signal like & quot ; there should be a subsystem tracking social status and that variable should be maximized & quot ; or tune some parameters but it likely does not have enough bandwidth to transfer some complex representation of the real evolutionary fitness ?"] "
within". ["Q-038 ( * one reason for why this should be what is the case there is between Dna and the neural network ; evolution can input some sort of a signal like & quot ; there should be a subsystem tracking social status and that variable should be maximized & quot ; or tune some parameters but it likely does not have enough bandwidth to transfer some complex representation of the real evolutionary fitness ?"] "
layers ["Q-039 ( * one reason for why this should be the case is there is not enough bandwidth between Dna and the neural network ; what can evolution input of a signal like & quot ; there should be a subsystem tracking social status and that variable should be maximized & quot ; or tune some parameters but it likely does not have enough bandwidth to transfer some complex representation of the real evolutionary fitness ?"] "
layers ["Q-040 ( * one reason for why this should be the case is there is not enough bandwidth between Dna and the neural network ; what can evolution input some sort of a signal like & quot ; there should be social status and that variable should be maximized & quot ; or tune some parameters but it likely does not have enough bandwidth to transfer some complex representation of the real evolutionary fitness ?"] "
layers and how the result looks like "from within". ["Q-041 ( * one reason for why this should be the case is there is not enough bandwidth between Dna and the neural network ; evolution can input some sort of a signal like & quot ; there should be a subsystem tracking tracking social status and that variable should be maximized & quot ; or tune some parameters but it likely does not have enough bandwidth to transfer some complex representation of the real evolutionary fitness ?"] "
tune some parameters ["Q-042 ( * one reason for why this should be the case is there is not enough bandwidth between Dna and the neural network ; evolution can input some sort of a signal like & quot ; there should be a subsystem tracking social status and that variable should be maximized & quot ; what but it likely does not have enough bandwidth to transfer some complex representation of the real evolutionary fitness ?"] "
layers and how the result looks like "from within". ["Q-043 ( * one reason for why this should be the case is there is not enough bandwidth between Dna and the neural network ; evolution can input some sort of a signal like & quot ; there should be a subsystem tracking social status and that variable should be maximized & quot ; or tune what does some parameters but it likely does not have to transfer some complex representation of the real evolutionary fitness ?"] "
layers and how the result looks like "from within". ["Q-044 ( * one reason for why this should be the case is there is not enough bandwidth between Dna and the neural network ; evolution can input some sort of a signal like & quot ; there should be a subsystem tracking social status and that variable should be maximized & quot ; or tune what does some parameters but it likely does not have enough bandwidth to transfer of the real evolutionary fitness ?"] "
maximized" ["Q-045 Who should be the case is there is not enough bandwidth between Dna and the neural network ; evolution can input some sort of a signal like & quot ; there should be a subsystem tracking social status and that variable should be maximized & quot ; or tune some parameters but it likely does not have enough bandwidth to transfer some complex representation of the real evolutionary fitness ?"] "
maximized" ["Q-046 Who is there is not enough bandwidth between Dna and the neural network ; evolution can input some sort of a signal like & quot ; there should be a subsystem tracking social status and that variable should be maximized & quot ; or tune some parameters but it likely does not have enough bandwidth to transfer some complex representation of the real evolutionary fitness ?"] "
evolution ["Q-047 Who can input some sort of a signal like & quot ; there should be a subsystem tracking social status and that variable should be maximized & quot ; or tune some parameters but it likely does not have enough bandwidth to transfer some complex representation of the real evolutionary fitness ?"] "
subsystem ["Q-048 Who tracking social status and that variable should be maximized & quot ; or tune some parameters but it likely does not have enough bandwidth to transfer some complex representation of the real evolutionary fitness ?"] "
tune some parameters ["Q-049 Who likely does not have enough bandwidth to transfer some complex representation of the real evolutionary fitness ?"] "
layers ["Q-050 ( how much C reason for why this should be the case is there is not enough bandwidth between Dna and the neural network ; evolution can input some sort of a signal like & quot ; there should be a subsystem tracking social status and that variable should be maximized & quot ; or tune some parameters but it likely does not have enough bandwidth to transfer some complex representation of the real evolutionary fitness ?"] "
layers and how the result looks like "from ["Q-051 ]
reality ["Q-052 Hence what gets to what created created are sub - agenty parts which do not have direct access and often instead of playing some masterful strategy in unison are bargaining or even defecting internally ) ?"] "
playing some masterful strategy ["Q-053 Hence what gets of what created created are sub - agenty parts which do not have direct access to reality and often instead masterful strategy in unison are bargaining or even defecting internally ) ?"] "
unison ["Q-054 Hence what gets created are sub - agenty parts which do not have direct access to reality and often instead in what of playing playing some masterful strategy are bargaining or even defecting internally ) ?"] "
sub-agenty parts ["Q-055 Hence what gets what created created are which do not have direct access to reality and often instead of playing some masterful strategy in unison are bargaining or even defecting internally ) ?"] "
direct access ["Q-056 Hence what gets what created created are sub - agenty parts which do not have to reality and often instead of playing some masterful strategy in unison are bargaining or even defecting internally ) ?"] "
masterful strategy ["Q-057 Hence what gets created are sub - agenty parts which do not have direct access to reality and often instead what of playing playing in unison are bargaining or even defecting internally ) ?"] "
real evolutionary fitness ["Q-058 Hence what gets created are sub - agenty parts which do not have direct access to reality and often instead of playing what are some masterful strategy in unison bargaining or even defecting internally ) ?"] "
gets ["Q-059 Who created are sub - agenty parts which do not have direct access to reality and often instead of playing some masterful strategy in unison are bargaining or even defecting internally ) ?"] "
sub-agenty parts which do not have direct access to reality and often ["Q-060 Who playing some masterful strategy in unison are bargaining or even defecting internally ) ?"] "
unison ["Q-061 Who are bargaining or even defecting internally ) ?"] "
bargaining ["Q-062 Who even defecting internally ) ?"] "
Comment by Jan_Kulveit on Player vs. Character A Two-Level Model of Ethics It's ["Q-063 ]
Jan_Kulveit ["Q-01 Who nicely written but the image of the Player hyperintelligent lovecraftian creature seems not really right to me ?"] "
Lovecraftian creature ["Q-02 Who seems not really right to me ?"] "
* How "smart" ["Q-03 Whom were in your picture have this powerful agent entity you see a mess of sub - agents interacting in a game theoretical way primarily among themselves ?"] "
In my picture ["Q-04 Who were i have this powerful agent entity you see a mess of sub - agents interacting in a game theoretical way primarily among themselves ?"] "
In my picture ["Q-05 Who have this powerful agent entity you see a mess of sub - agents interacting in a game theoretical way primarily among themselves ?"] "
powerful agent entity I ["Q-06 Who see a mess of sub - agents interacting in a game theoretical way primarily among themselves ?"] "
I see a mess of sub-agents ["Q-07 Who interacting in a game theoretical way primarily among themselves ?"] "
* How "smart" ["Q-08 Who are is quite high variance ?"] "
some "personality generating" ["Q-09 What you really like the descriptions how via what are the results of these interaction processed & quot ; personality generating & quot ; layers and how the result looks like & quot ; from within & quot ; ?"] "
intelligent or agent-like. What I really like the descriptions how the results of these interaction are processed via some "personality generating" layers and how the result looks like "from within". ["Q-10 What you really like the descriptions how what are the results of these interaction processed via some & quot ; personality generating & quot ; layers and how the result looks like & quot ; from within & quot ; ?"] "
interaction ["Q-11 Who are processed via some & quot ; personality generating & quot ; layers and how the result looks like & quot ; from within & quot ; ?"] "
within". ["Q-12 Who generating & quot ; layers and how the result looks like & quot ; from within & quot ; ?"] "
layers ["Q-13 Who looks like & quot ; from within & quot ; ?"] "
maximized" ["Q-14 Who should be the case is there is not enough bandwidth between Dna and the neural network ; evolution can input some sort of a signal like & quot ; there should be a subsystem tracking social status and that variable should be maximized & quot ; or tune some parameters but it likely does not have enough bandwidth to transfer some complex representation of the real evolutionary fitness ?"] "
layers and how the result looks like "from within". (* one reason for why this should be the case is there is not enough bandwidth between DNA and the neural network; evolution can input some sort of a signal like "there should be a subsystem tracking social status and that variable should be maximized" ["Q-15 Who is there is not enough bandwidth between Dna and the neural network ; evolution can input some sort of a signal like & quot ; there should be a subsystem tracking social status and that variable should be maximized & quot ; or tune some parameters but it likely does not have enough bandwidth to transfer some complex representation of the real evolutionary fitness ?"] "
evolution ["Q-16 Who can input some sort of a signal like & quot ; there should be a subsystem tracking social status and that variable should be maximized & quot ; or tune some parameters but it likely does not have enough bandwidth to transfer some complex representation of the real evolutionary fitness ?"] "
subsystem ["Q-17 Who tracking social status and that variable should be maximized & quot ; or tune some parameters but it likely does not have enough bandwidth to transfer some complex representation of the real evolutionary fitness ?"] "
tune some parameters ["Q-18 Who likely does not have enough bandwidth to transfer some complex representation of the real evolutionary fitness ?"] "
gets ["Q-19 Who created are sub - agenty parts which do not have direct access to reality and often instead of playing some masterful strategy in unison are bargaining or even defecting internally ) ?"] "
sub-agenty parts ["Q-20 Who playing some masterful strategy in unison are bargaining or even defecting internally ) ?"] "
unison ["Q-21 Who are bargaining or even defecting internally ) ?"] "
bargaining ["Q-22 Who even defecting internally ) ?"] "
Player vs. Character A Two-Level Model of Ethics It's ["Q-01 ]
Jan_Kulveit ["Q-02 Character a two - level Model of Ethics it & # x27 ; s nicely written but the image of the Player hyperintelligent to whom does lovecraftian creature seems not really right ?"] "
Player vs. ["Q-03 Character a two - level Model of Ethics it & # x27 ; of what did s nicely written but the image lovecraftian creature seems not really right to me ?"] "
Jan_Kulveit ["Q-04 Who nicely written but the image of the Player hyperintelligent lovecraftian creature seems not really right to me ?"] "
Lovecraftian creature ["Q-05 Who seems not really right to me ?"] "
Player vs. Character A Two-Level Model of Ethics It's ["Q-06 ]
sub-agents interacting ["Q-07 In your picture were i have do this powerful agent entity you see a mess in a game theoretical way primarily among themselves ?"] "
a mess of sub-agents interacting in a game ["Q-08 In your picture were i have this powerful agent entity you see in what a mess of sub - agents interacting interacting theoretical way primarily among themselves ?"] "
themselves ["Q-09 In your picture were i have this powerful agent entity you see among whom a mess of sub - agents interacting interacting in a game theoretical way primarily ?"] "
Lovecraftian creature seems not really right to me. In my picture were you have this powerful agent entity I see a mess of sub-agents interacting in a game theoretical way primarily among themselves.* How "smart" ["Q-010 Whom were in your picture have this powerful agent entity you see a mess of sub - agents interacting in a game theoretical way primarily among themselves ?"] "
powerful agent entity I ["Q-011 In your picture were what do i have see a mess of sub - agents interacting in a game theoretical way primarily among themselves ?"] "
mess of sub-agents interacting in a game theoretical way primarily among themselves.* How "smart" the results of the interactions are is quite high variance ["Q-012 In your picture were i have what do this powerful agent entity you see of sub - agents interacting in a game theoretical way primarily among themselves ?"] "
my ["Q-013 In whose picture were i have this powerful agent entity you see a mess of sub - agents interacting in a game theoretical way primarily among themselves ?"] "
In my picture ["Q-014 Who were i have this powerful agent entity you see a mess of sub - agents interacting in a game theoretical way primarily among themselves ?"] "
In my picture ["Q-015 Who have this powerful agent entity you see a mess of sub - agents interacting in a game theoretical way primarily among themselves ?"] "
powerful agent entity I ["Q-016 Who see a mess of sub - agents interacting in a game theoretical way primarily among themselves ?"] "
I see a mess of sub-agents ["Q-017 Who interacting in a game theoretical way primarily among themselves ?"] "
layers and how the result looks like "from ["Q-018 ]
high variance ["Q-019 * How & quot ; smart & quot ; what are the results of the interactions is ?"] "
* How "smart" ["Q-020 Who are is quite high variance ?"] "
layers and how the result looks like "from ["Q-021 ]
computing power ["Q-022 Obviously of what does the system has a lot but that is not really the same as being intelligent or agent - like ?"] "
high variance ["Q-023 Obviously the system has as what a lot of computing power but that computing not really the same intelligent or agent - like ?"] "
a lot of computing power ["Q-024 Obviously what does the system has of computing power but that is not really the same as being intelligent or agent - like ?"] "
power ["Q-025 Obviously the system has what a lot of computing computing but that is not really the same as being intelligent or agent - like ?"] "
a lot of computing power but that is not really the same ["Q-026 Obviously the system has what a lot of computing power but that computing same as being intelligent or agent - like ?"] "
layers and how the result looks like "from within". ["Q-027 ]
some "personality generating" ["Q-028 What you really like the descriptions how via what are the results of these interaction processed & quot ; personality generating & quot ; layers and how the result looks like & quot ; from within & quot ; ?"] "
high variance. Obviously the system has a lot of computing power but that is not really the same as being intelligent or agent-like. What I really like the descriptions how the results of these interaction are processed via some "personality generating" layers and how the result looks like "from within". ["Q-029 What you really like the descriptions how what are the results of these interaction processed via some & quot ; personality generating & quot ; layers and how the result looks like & quot ; from within & quot ; ?"] "
interaction ["Q-030 Who are processed via some & quot ; personality generating & quot ; layers and how the result looks like & quot ; from within & quot ; ?"] "
within". ["Q-031 Who generating & quot ; layers and how the result looks like & quot ; from within & quot ; ?"] "
layers ["Q-032 Who looks like & quot ; from within & quot ; ?"] "
Comment by Jan_Kulveit on Player vs. Character A Two-Level Model of Ethics It's ["Q-033 ]
DNA ["Q-034 ( * one reason for why this should be between what is the case there is not enough bandwidth and the neural network ; evolution can input some sort of a signal like & quot ; there should be a subsystem tracking social status and that variable should be maximized & quot ; or tune some parameters but it likely does not have enough bandwidth to transfer some complex representation of the real evolutionary fitness ?"] "
layers ["Q-035 ( * one reason for why this should be the case is there is not enough bandwidth between Dna and the neural network ; of what can evolution input some sort like & quot ; there should be a subsystem tracking social status and that variable should be maximized & quot ; or tune some parameters but it likely does not have enough bandwidth to transfer some complex representation of the real evolutionary fitness ?"] "
layers and how the result looks like "from within". ["Q-036 ( * one reason for why this should be the case is there is not enough bandwidth between Dna and the neural network ; evolution can input some sort of a signal like & quot ; there should be a subsystem tracking social status and that variable should be maximized & quot ; or tune of what does some parameters but it likely does not have enough bandwidth to transfer some complex representation ?"] "
layers and how the result looks like "from within". ["Q-037 ( * one reason for why what should this be is there is not enough bandwidth between Dna and the neural network ; evolution can input some sort of a signal like & quot ; there should be a subsystem tracking social status and that variable should be maximized & quot ; or tune some parameters but it likely does not have enough bandwidth to transfer some complex representation of the real evolutionary fitness ?"] "
within". ["Q-038 ( * one reason for why this should be what is the case there is between Dna and the neural network ; evolution can input some sort of a signal like & quot ; there should be a subsystem tracking social status and that variable should be maximized & quot ; or tune some parameters but it likely does not have enough bandwidth to transfer some complex representation of the real evolutionary fitness ?"] "
layers ["Q-039 ( * one reason for why this should be the case is there is not enough bandwidth between Dna and the neural network ; what can evolution input of a signal like & quot ; there should be a subsystem tracking social status and that variable should be maximized & quot ; or tune some parameters but it likely does not have enough bandwidth to transfer some complex representation of the real evolutionary fitness ?"] "
layers ["Q-040 ( * one reason for why this should be the case is there is not enough bandwidth between Dna and the neural network ; what can evolution input some sort of a signal like & quot ; there should be social status and that variable should be maximized & quot ; or tune some parameters but it likely does not have enough bandwidth to transfer some complex representation of the real evolutionary fitness ?"] "
layers and how the result looks like "from within". ["Q-041 ( * one reason for why this should be the case is there is not enough bandwidth between Dna and the neural network ; evolution can input some sort of a signal like & quot ; there should be a subsystem tracking tracking social status and that variable should be maximized & quot ; or tune some parameters but it likely does not have enough bandwidth to transfer some complex representation of the real evolutionary fitness ?"] "
tune some parameters ["Q-042 ( * one reason for why this should be the case is there is not enough bandwidth between Dna and the neural network ; evolution can input some sort of a signal like & quot ; there should be a subsystem tracking social status and that variable should be maximized & quot ; what but it likely does not have enough bandwidth to transfer some complex representation of the real evolutionary fitness ?"] "
layers and how the result looks like "from within". ["Q-043 ( * one reason for why this should be the case is there is not enough bandwidth between Dna and the neural network ; evolution can input some sort of a signal like & quot ; there should be a subsystem tracking social status and that variable should be maximized & quot ; or tune what does some parameters but it likely does not have to transfer some complex representation of the real evolutionary fitness ?"] "
layers and how the result looks like "from within". ["Q-044 ( * one reason for why this should be the case is there is not enough bandwidth between Dna and the neural network ; evolution can input some sort of a signal like & quot ; there should be a subsystem tracking social status and that variable should be maximized & quot ; or tune what does some parameters but it likely does not have enough bandwidth to transfer of the real evolutionary fitness ?"] "
maximized" ["Q-045 Who should be the case is there is not enough bandwidth between Dna and the neural network ; evolution can input some sort of a signal like & quot ; there should be a subsystem tracking social status and that variable should be maximized & quot ; or tune some parameters but it likely does not have enough bandwidth to transfer some complex representation of the real evolutionary fitness ?"] "
maximized" ["Q-046 Who is there is not enough bandwidth between Dna and the neural network ; evolution can input some sort of a signal like & quot ; there should be a subsystem tracking social status and that variable should be maximized & quot ; or tune some parameters but it likely does not have enough bandwidth to transfer some complex representation of the real evolutionary fitness ?"] "
evolution ["Q-047 Who can input some sort of a signal like & quot ; there should be a subsystem tracking social status and that variable should be maximized & quot ; or tune some parameters but it likely does not have enough bandwidth to transfer some complex representation of the real evolutionary fitness ?"] "
subsystem ["Q-048 Who tracking social status and that variable should be maximized & quot ; or tune some parameters but it likely does not have enough bandwidth to transfer some complex representation of the real evolutionary fitness ?"] "
tune some parameters ["Q-049 Who likely does not have enough bandwidth to transfer some complex representation of the real evolutionary fitness ?"] "
layers ["Q-050 ( how much C reason for why this should be the case is there is not enough bandwidth between Dna and the neural network ; evolution can input some sort of a signal like & quot ; there should be a subsystem tracking social status and that variable should be maximized & quot ; or tune some parameters but it likely does not have enough bandwidth to transfer some complex representation of the real evolutionary fitness ?"] "
layers and how the result looks like "from ["Q-051 ]
reality ["Q-052 Hence what gets to what created created are sub - agenty parts which do not have direct access and often instead of playing some masterful strategy in unison are bargaining or even defecting internally ) ?"] "
playing some masterful strategy ["Q-053 Hence what gets of what created created are sub - agenty parts which do not have direct access to reality and often instead masterful strategy in unison are bargaining or even defecting internally ) ?"] "
unison ["Q-054 Hence what gets created are sub - agenty parts which do not have direct access to reality and often instead in what of playing playing some masterful strategy are bargaining or even defecting internally ) ?"] "
sub-agenty parts ["Q-055 Hence what gets what created created are which do not have direct access to reality and often instead of playing some masterful strategy in unison are bargaining or even defecting internally ) ?"] "
direct access ["Q-056 Hence what gets what created created are sub - agenty parts which do not have to reality and often instead of playing some masterful strategy in unison are bargaining or even defecting internally ) ?"] "
masterful strategy ["Q-057 Hence what gets created are sub - agenty parts which do not have direct access to reality and often instead what of playing playing in unison are bargaining or even defecting internally ) ?"] "
real evolutionary fitness ["Q-058 Hence what gets created are sub - agenty parts which do not have direct access to reality and often instead of playing what are some masterful strategy in unison bargaining or even defecting internally ) ?"] "
gets ["Q-059 Who created are sub - agenty parts which do not have direct access to reality and often instead of playing some masterful strategy in unison are bargaining or even defecting internally ) ?"] "
sub-agenty parts which do not have direct access to reality and often ["Q-060 Who playing some masterful strategy in unison are bargaining or even defecting internally ) ?"] "
unison ["Q-061 Who are bargaining or even defecting internally ) ?"] "
bargaining ["Q-062 Who even defecting internally ) ?"] "
Comment by Jan_Kulveit on Player vs. Character A Two-Level Model of Ethics It's ["Q-063 ]
Max Daniel Ryan Carey Rohin Shah Owen Cotton-Barratt ["Q-01 Who work to several more technical research questions ?"] "
best-guess model of how human values and motivations work to several more technical research questions. The mind-model ["Q-02 What is the mind - model inspired by predictive processing / active inference framework and multi - agent models of the mind ?"] "
The mind-model ["Q-03 Who is inspired by predictive processing / active inference framework and multi - agent models of the mind ?"] "
slightly unusual epistemic structure1st ["Q-04 What does the text has current best - guess model of how human minds work ?"] "
The text ["Q-05 Who has slightly unusual epistemic structure1st part your current best - guess model of how human minds work ?"] "
mind architecture ["Q-06 Who would pose for some approaches to value learning ?"] "
Linda Linsefors Alexey Turchin ["Q-07 Who learning ?"] "
Multi-agent predictive minds ["Q-08 Who is if such a model seems at least plausible you should probably extend the space of active research directions ?"] "
a model ["Q-09 Who seems at least plausible you should probably extend the space of active research directions ?"] "
a model seems at least plausible we ["Q-10 Who should probably extend the space of active research directions ?"] "
Max Daniel Ryan Carey Rohin Shah Owen Cotton-Barratt ["Q-11 Who motivated by the previous ?"] "
more credence ["Q-12 What you put in the usefulness of research questions suggested in the third part than in the specifics of the model described the first part ?"] "
I ["Q-13 Who put more credence in the usefulness of research questions suggested in the third part than in the specifics of the model described the first part ?"] "
research questions ["Q-14 Who suggested in the third part than in the specifics of the model described the first part ?"] "
Gaven\u010diak Max Daniel Ryan Carey Rohin ["Q-15 Who described the first part ?"] "
research questions suggested in the third part than in the specifics of the model described the first part ["Q-16 Who should be warned you have no formal training in cognitive neuroscience and similar fields and it is completely possible you \u2019 m making some basic mistakes ?"] "
I ["Q-17 Who have no formal training in cognitive neuroscience and similar fields and it is completely possible you \u2019 m making some basic mistakes ?"] "
Max Daniel Ryan Carey Rohin Shah Owen Cotton-Barratt ["Q-18 Who is completely possible you \u2019 m making some basic mistakes ?"] "
Max Daniel Ryan Carey Rohin Shah Owen Cotton-Barratt ["Q-19 Who \u2019 m making some basic mistakes ?"] "
Still my feeling ["Q-20 Who is even if the model described in the first part is wrong something from the broad class of \u201c motivational systems not naturally described by utility functions \u201d is close to reality and understanding problems from the 3rd part can be useful ?"] "
the model ["Q-21 Who described in the first part is wrong something from the broad class of \u201c motivational systems not naturally described by utility functions \u201d is close to reality and understanding problems from the 3rd part can be useful ?"] "
the model ["Q-22 Who is wrong something from the broad class of \u201c motivational systems not naturally described by utility functions \u201d is close to reality and understanding problems from the 3rd part can be useful ?"] "
motivational systems ["Q-23 Who not naturally described by utility functions \u201d is close to reality and understanding problems from the 3rd part can be useful ?"] "
utility functions ["Q-24 Who \u201d is close to reality and understanding problems from the 3rd part can be useful ?"] "
Max Daniel Ryan Carey Rohin Shah Owen Cotton-Barratt ["Q-25 Who can be useful ?"] "
Multi-agent predictive ["Q-26 How what minds w R is a \u201c best guess model \u201d ?"] "
a \u201cbest guess model\u201d ["Q-27 How minds workas noted what is this ?"] "
How minds ["Q-28 Who workas noted this is a \u201c best guess model \u201d ?"] "
Max Daniel Ryan Carey Rohin Shah Owen Cotton-Barratt ["Q-29 Who is a \u201c best guess model \u201d ?"] "
large uncertainty ["Q-30 What do you have about how human minds actually work ?"] "
CFAR ["Q-31 Who have large uncertainty about how human minds actually work ?"] "
human minds ["Q-32 Who actually work ?"] "
just one bet I ["Q-33 What could but if you place would bet on this ?"] "
I ["Q-34 Who could place just one bet you would bet on this ?"] "
one bet I ["Q-35 Who would bet on this ?"] "
multi-agent models of the mind ["Q-36 What does the model has predictive processing and the active inference framework ?"] "
The model ["Q-37 Who has two prerequisite ideas predictive processing and the active inference framework ?"] "
two ["Q-38 How much does the model has prerequisite ideas predictive processing and the active inference framework ?"] "
I'll ["Q-39 Who give brief summaries and links for elsewhere ?"] "
predictive processing / the active inference framework brains ["Q-40 Who constantly predict sensory inputs in a hierarchical generative way ?"] "
currency ["Q-41 Who is running is prediction error ( or something in style of free energy in that language ) ?"] "
rationality ["Q-42 What is another important ingredient bounded ?"] "
Max Daniel Ryan Carey Rohin Shah Owen Cotton-Barratt ["Q-43 Who is bounded rationality you ?"] "
Max Daniel Ryan Carey Rohin Shah Owen Cotton-Barratt ["Q-44 Who being available for cognition ?"] "
hierarchical ["Q-45 Who reusing modelling neural architectures principle of reusing and repurposing everything all seem to be r V to be related to quite brutal optimization pressure likely related to brain \u2019 s enormous energy consumption ( it is unclear to me if this can be also reduced to the same \u201c currency \u201d ?"] "
energy consumption ["Q-46 Who is unclear to me if this can be also reduced to the same \u201c currency \u201d ?"] "
Karl Friston ["Q-47 Who can be also reduced to the same \u201c currency \u201d ?"] "
Karl Friston ["Q-48 Who can work on variables on very different hierarchical layers of modelling - e ?"] "
Max Daniel Ryan Carey Rohin Shah Owen Cotton-Barratt ["Q-49 Who modelling - e ?"] "
feeling hungry\u201d vs. ["Q-50 What can such sub - systems be large for example tracking social status \u201d seems to require lot of computation ?"] "
sub-systems ["Q-51 Who can be large for example tracking \u201c social status \u201d seems to require lot of computation ?"] "
social status ["Q-52 Who seems to require lot of computation ?"] "
response ["Q-53 How does this relate to emotions ? emotions could be quite complex processes where some higher - level modelling ( to what do \u201c you see a lion \u201d ) leads in lower levels connected to body states some chemicals are released and this interoceptive sensation is re - integrated in the higher levels in the form of emotional state eventually reaching consciousness ?"] "
lower levels ["Q-54 How does this relate to emotions ? emotions could be quite complex processes where some higher - level modelling ( in what do \u201c you see a lion \u201d ) leads to a response to body states some chemicals are released and this interoceptive sensation is re - integrated in the higher levels in the form of emotional state eventually reaching consciousness ?"] "
higher levels ["Q-55 How does this relate to emotions ? emotions could be quite complex processes where some higher - level modelling ( \u201c you see a lion \u201d ) leads to a response in lower levels connected to body states some chemicals are released and in what is this interoceptive sensation re - integrated in the form of emotional state eventually reaching consciousness ?"] "
interoceptive sensation ["Q-56 How does this relate to emotions ? emotions could be quite complex processes where some higher - level modelling ( \u201c you see a lion \u201d ) leads to a response in lower levels connected to body states some chemicals are released and in what is this interoceptive sensation re - integrated in the higher levels of emotional state eventually reaching consciousness ?"] "
emotional state ["Q-57 How does this relate to emotions ? emotions could be quite complex processes where some higher - level modelling ( \u201c you see a lion \u201d ) leads to a response in lower levels connected to body states some chemicals are released and of what is this interoceptive sensation re - integrated in the higher levels in the form eventually reaching consciousness ?"] "
complex processes ["Q-58 How does this relate to emotions ? what could emotions be where some higher - level modelling ( \u201c you see a lion \u201d ) leads to a response in lower levels connected to body states some chemicals are released and this interoceptive sensation is re - integrated in the higher levels in the form of emotional state eventually reaching consciousness ?"] "
a lion\u201d ["Q-59 How does this relate to emotions ? emotions could be quite complex processes where some higher - level modelling ( what do \u201c you see ) leads to a response in lower levels connected to body states some chemicals are released and this interoceptive sensation is re - integrated in the higher levels in the form of emotional state eventually reaching consciousness ?"] "
chemicals ["Q-60 How does this relate to emotions ? emotions could be quite complex processes where some higher - level modelling ( \u201c you see a lion \u201d ) leads to a response in what did lower levels connected connected to b N are released and this interoceptive sensation is re - integrated in the higher levels in the form of emotional state eventually reaching consciousness ?"] "
? Emotions could be quite complex processes where some higher-level modelling (\u201cI see a lion\u201d) leads to a response in lower levels connected to body states some chemicals are released and this interoceptive sensation ["Q-61 How does this relate to emotions ? emotions could be quite complex processes where some higher - level modelling ( \u201c you see a lion \u201d ) leads to a response in lower levels connected to body what are states some chemicals released and this interoceptive sensation is re - integrated in the higher levels in the form of emotional state eventually reaching consciousness ?"] "
consciousness ["Q-62 How does this relate to emotions ? emotions could be quite complex processes where some higher - level modelling ( \u201c you see a lion \u201d ) leads to a response in lower levels connected to body states some chemicals are released and this interoceptive sensation is re - integrated in the higher levels in the form of what emotional state eventually reaching ?"] "
Emotions ["Q-63 Who could be quite complex processes where some higher - level modelling ( \u201c you see a lion \u201d ) leads to a response in lower levels connected to body states some chemicals are released and this interoceptive sensation is re - integrated in the higher levels in the form of emotional state eventually reaching consciousness ?"] "
I see a lion\u201d) leads to a response in lower levels connected to body states some chemicals are released and this interoceptive sensation is re-integrated in the higher levels in the form of emotional state eventually reaching consciousness ["Q-64 Who see a lion \u201d ) leads to a response in lower levels connected to body states some chemicals are released and this interoceptive sensation is re - integrated in the higher levels in the form of emotional state eventually reaching consciousness ?"] "
lower levels ["Q-65 Who connected to body states some chemicals are released and this interoceptive sensation is re - integrated in the higher levels in the form of emotional state eventually reaching consciousness ?"] "
chemicals ["Q-66 Who are released and this interoceptive sensation is re - integrated in the higher levels in the form of emotional state eventually reaching consciousness ?"] "
interoceptive sensation ["Q-67 Who is re - integrated in the higher levels in the form of emotional state eventually reaching consciousness ?"] "
emotional state ["Q-68 Who eventually reaching consciousness ?"] "
emotional ["Q-69 Who is more similar to \u201c sensory \u201d data - the guess is body / low level responses are a way how genes insert a reward signal into the whole system ?"] "
sensory\u201d data - the guess ["Q-70 Who is body / low level responses are a way how genes insert a reward signal into the whole system ?"] "
body/low level responses ["Q-71 Who are a way how genes insert a reward signal into the whole system ?"] "
how genes ["Q-72 Who insert a reward signal into the whole system ?"] "
light of consciousness ["Q-73 How does this relate to your conscious experience and stuff like Kahneman & # x27 ; s System 1/system 2 ? for what does it seems of consciousness is illuminating only a tiny part of the computation and most stuff is happening in the background ?"] "
light of consciousness ["Q-74 How does this relate to your conscious experience and stuff like Kahneman & # x27 ; s System 1/system 2 ? of what does it seems for most people the light is illuminating only a tiny part of the computation and most stuff is happening in the background ?"] "
computation ["Q-75 How does this relate to your conscious experience and stuff like Kahneman & # x27 ; s System 1/system 2 ? it seems for of what is most people the light of consciousness illuminating only a tiny part and most stuff is happening in the background ?"] "
in the background ["Q-76 How does this relate to your conscious experience and stuff like Kahneman & # x27 ; s System 1/system 2 ? it seems for most people the light of consciousness is illuminating only a tiny part of the computation and in what is most stuff happening ?"] "
a tiny part ["Q-77 How does this relate to your conscious experience and stuff like Kahneman & # x27 ; s System 1/system 2 ? it seems for what is most people the light of consciousness illuminating tiny part of the computation and most stuff is happening in the background ?"] "
how genes insert a reward signal into the whole system ["Q-78 How does this relate to your conscious experience and stuff like Kahneman & # x27 ; s System 1/system 2 ? it seems for most people the light of consciousness is illuminating only a tiny part of the computation and what is most stuff happening in the background ?"] "
Kahneman's System 1/System 2 ["Q-79 Who seems for most people the light of consciousness is illuminating only a tiny part of the computation and most stuff is happening in the background ?"] "
the light of consciousness ["Q-80 Who is illuminating only a tiny part of the computation and most stuff is happening in the background ?"] "
Max Daniel Ryan Carey Rohin Shah Owen Cotton-Barratt ["Q-81 Who is happening in the background ?"] "
S1 ["Q-82 Who has much larger computing power ?"] "
S1 has much larger computing power. On the other hand ["Q-83 Who seems relatively easy to \u201c spawn background processes \u201d from the conscious part and it seems possible to illuminate larger part of the background processing than is usually visible through specialized techniques and efforts ( for example some meditation techniques ) ?"] "
conscious part ["Q-84 Who seems possible to illuminate larger part of the background processing than is usually visible through specialized techniques and efforts ( for example some meditation techniques ) ?"] "
background processing ["Q-85 Who is usually visible through specialized techniques and efforts ( for example some meditation techniques ) ?"] "
observation ["Q-86 What is another ingredient that a big part of what the conscious self is doing is interacting with other people and rationalizing your behaviour ?"] "
Another ingredient ["Q-87 Who is the observation that a big part of what the conscious self is doing is interacting with other people and rationalizing your behaviour ?"] "
the conscious self ["Q-88 Who is doing is interacting with other people and rationalizing your behaviour ?"] "
Linda Linsefors Alexey Turchin Tom\u00e1\u0161 Gaven\u010diak Max Daniel Ryan Carey Rohin Shah Owen Cotton-Barratt ["Q-89 Who rationalizing your behaviour ?"] "
secretary theory elephant ["Q-90 Who is also quite possible the relation between acting rationally and the ability to rationalize what you did is bidirectional and significant part of motivation for some rational behaviour is that it is easy to rationalize it ?"] "
the relation ["Q-91 Who acting rationally and the ability to rationalize what you did is bidirectional and significant part of motivation for some rational behaviour is that it is easy to rationalize it ?"] "
secretary theory elephant ["Q-92 Who did is bidirectional and significant part of motivation for some rational behaviour is that it is easy to rationalize it ?"] "
Karl Friston ["Q-93 Who is that it is easy to rationalize it ?"] "
rational behaviour ["Q-94 Who is easy to rationalize it ?"] "
human minds (even simulating how other people would be simulating someone else!).Problems ["Q-95 Who seems important to appreciate that the most important part of the human \u201c environment \u201d are other people and what human minds are often doing is likely simulating other human minds ( even simulating how other people would be simulating someone else ! ) ?"] "
human \u201cenvironment ["Q-96 Who are other people and what human minds are often doing is likely simulating other human minds ( even simulating how other people would be simulating someone else ! ) ?"] "
human minds ["Q-97 Who are often doing is likely simulating other human minds ( even simulating how other people would be simulating someone else ! ) ?"] "
human minds ["Q-98 Who doing is likely simulating other human minds ( even simulating how other people would be simulating someone else ! ) ?"] "
else!).Problems ["Q-99 Who would be simulating someone else ! ) ?"] "
human minds are often doing is likely simulating other human minds ["Q-100 What problems with prevailing prevailing approacheswhile the above sketched picture is just a best guess it seems to me at least compelling ?"] "
sketched picture ["Q-101 What problems with prevailing value learning approacheswhile the above prevailing is just a best guess it seems to me at least compelling ?"] "
No clear distinction between goals and beliefsIn ["Q-102 Who is hardly possible to disentangle \u201c beliefs \u201d and \u201c motivations \u201d ( or values ) ?"] "
Motivations\u201d interface with the world only via a complex machinery of hierarchical generative models ["Q-103 Who containing all other sorts of \u201c beliefs \u201d ?"] "
Linda Linsefors Alexey Turchin ["Q-104 Who \u201d ?"] "
beliefs\u201d.To ["Q-105 Who learning someone who a case of someone who \u2019 s predictive / generative model strongly predicts failure and suffering ?"] "
actions ["Q-106 What may such person take which actually lead to this outcome minimizing the prediction error ?"] "
the prediction error ["Q-107 What may such person take actions which actually lead to this outcome minimizing ?"] "
someone who\u2019s predictive/generative model ["Q-108 Who may take actions which actually lead to this outcome minimizing the prediction error ?"] "
important problem ["Q-109 Who is that extrapolating \u201c values \u201d outside of the area of validity of generative models is problematic and could be fundamentally ill - defined ?"] "
important problem ["Q-110 Who extrapolating \u201c values \u201d outside of the area of validity of generative models is problematic and could be fundamentally ill - defined ?"] "
values\u201d outside of the area of validity of generative models ["Q-111 Who is problematic and could be fundamentally ill - defined ?"] "
values ["Q-112 Who could be fundamentally ill - defined ?"] "
self-alignmentIt ["Q-113 Who is related to \u201c ontological crisis \u201d ?"] "
utility functions ["Q-114 Who is more adequate for describing the individual \u201c subsystems \u201d than the whole human minds ?"] "
utility functions ["Q-115 Who describing the individual \u201c subsystems \u201d than the whole human minds ?"] "
Decisions on the whole mind level ["Q-116 Who are more like results of interactions between the sub - agents ; results of multi - agent interaction are not in general an object which is naturally represented by utility function ?"] "
multi-agent interaction ["Q-117 Who are not in general an object which is naturally represented by utility function ?"] "
1 defect-defect 2cooperate-defect ["Q-118 What the sequence of game outcomes in repeated ?"] "
1 defect-defect 2cooperate-defect ["Q-119 What do if me take of game outcomes ( e ?"] "
Max Daniel Ryan Carey Rohin Shah Owen Cotton-Barratt ["Q-120 Who take the sequence of game outcomes ( e ?"] "
VNM rationality ["Q-121 What is Note this not to c N is useless - it still has the normative power - and some types of interaction lead humans to approximate Seu optimizing agents better ?"] "
Note ["Q-122 Who is not to claim Vnm rationality is useless - it still has the normative power - and some types of interaction lead humans to approximate Seu optimizing agents better ?"] "
VNM rationality ["Q-123 Who is useless - it still has the normative power - and some types of interaction lead humans to approximate Seu optimizing agents better ?"] "
VNM rationality ["Q-124 Who still has the normative power - and some types of interaction lead humans to approximate Seu optimizing agents better ?"] "
Max Daniel Ryan Carey Rohin Shah Owen Cotton-Barratt ["Q-125 Who optimizing agents better ?"] "
VNM rationality ["Q-126 Who is if mainly one specific subsystem ( subagent ) is in control and the decision does not go via too complex generative modelling ?"] "
control and the decision ["Q-127 Who does not go via too complex generative modelling ?"] "
more VNM-like behaviour ["Q-128 What should so you expect in experiments in narrow domains than in cases where very different sub - agents are engaged and disagree ?"] "
AI withGiven ["Q-129 Who should expect more vnm - like behaviour in experiments in narrow domains than in cases where very different sub - agents are engaged and disagree ?"] "
different sub-agents ["Q-130 Who are engaged and disagree ?"] "
Gaven\u010diak Max Daniel Ryan Carey Rohin Shah Owen Cotton-Barratt ["Q-131 Who disagree ?"] "
more ["Q-132 How much should so you e N more vnm - like behaviour in experiments in narrow domains than in cases where very different sub - agents are e V and disagree ?"] "
VNM-like ["Q-133 Who is if sub - agents are able to do some \u201c social welfare function \u201d style aggregation bargain or trade - the result could be more vnm - like at least in specific points of time with the caveat that such \u201c point \u201d aggregate function may not be preserved in time ?"] "
sub-agents ["Q-134 Who are able to do some \u201c social welfare function \u201d style aggregation bargain or trade - the result could be more vnm - like at least in specific points of time with the caveat that such \u201c point \u201d aggregate function may not be preserved in time ?"] "
style aggregation bargain ["Q-135 Who could be more vnm - like at least in specific points of time with the caveat that such \u201c point \u201d aggregate function may not be preserved in time ?"] "
point\u201d aggregate function ["Q-136 Who may not be preserved in time ?"] "
1. and 2 ["Q-137 How much e N the ?"] "
AI withGiven ["Q-138 Who resulting contrary c N very different from Vnm - like may be caused by sub - agents locked in some non - cooperative Nash e N ?"] "
VNM-like ["Q-139 Who may be caused by sub - agents locked in some non - cooperative Nash e N ?"] "
sub-agents ["Q-140 Who locked in some non - cooperative Nash e N ?"] "
Max Daniel Ryan Carey ["Q-141 Who e N the ?"] "
whole mind ["Q-142 What between what are you aligning Ai withgiven this distinction and sub - agents there are at least four somewhat different notions of what alignment can mean ?"] "
mean.1 ["Q-143 What at what are you aligning Ai withgiven this distinction between the whole mind and sub - agents there are somewhat different notions of what alignment can mean ?"] "
AI withGiven ["Q-144 What what are you aligning withgiven this distinction between the whole mind and sub - agents there are at least four somewhat different notions of what alignment can mean ?"] "
mean.1 ["Q-145 Who are aligning Ai withgiven this distinction between the whole mind and sub - agents there are at least four somewhat different notions of what alignment can mean ?"] "
Max Daniel Ryan Carey Rohin Shah Owen Cotton-Barratt ["Q-146 Who can mean ?"] "
Max Daniel Ryan Carey Rohin Shah Owen Cotton-Barratt ["Q-147 Who querying the human ?"] "
Nash equilibria. What we are aligning AI withGiven ["Q-148 Who includes for example proposals centered around approval ?"] "
Max Daniel Ryan Carey Rohin Shah Owen Cotton-Barratt ["Q-149 Who centered around approval ?"] "
Max Daniel Ryan Carey ["Q-150 Who has some voice ?"] "
Max Daniel Ryan Carey Rohin ["Q-151 Who querying the human ?"] "
Max Daniel Ryan Carey Rohin Shah Owen Cotton-Barratt ["Q-152 Who includes for example Cirl and similar approaches ?"] "
AI withGiven ["Q-153 Who is by carefully crafted queries it is possible to give voice to different sub - agenty systems ( or with more nuance give them very different power in the aggregation process ) ?"] "
The problematic part of this is by carefully crafted queries it is possible to give voice to different sub-agenty systems (or with more nuance give them very different power in the aggregation process). One problem with this is if the internal human system is not self-aligned the results could be quite arbitrary (and the AI agent ["Q-154 Who carefully crafted queries it is possible to give voice to different sub - agenty systems ( or with more nuance give them very different power in the aggregation process ) ?"] "
AI withGiven this distinction between the whole mind and sub-agents there are at least four somewhat different notions of what alignment can mean.1. Alignment with the outputs of the generative models without querying the human. This includes for example proposals centered around approval. In this case generally only the output of the internal aggregation has some voice.2. Alignment with the outputs of the generative models with querying the human. This includes for example CIRL and similar approaches. The problematic part of this is by carefully crafted queries ["Q-155 Who is possible to give voice to different sub - agenty systems ( or with more nuance give them very different power in the aggregation process ) ?"] "
Max Daniel Ryan Carey Rohin Shah Owen Cotton-Barratt ["Q-156 Who give them very different power in the aggregation process ) ?"] "
manipulate)3 ["Q-157 Who is if the internal human system is not self - aligned the results could be quite arbitrary ( and the Ai agent has a lot of power to manipulate ) 3 ?"] "
internal human system ["Q-158 Who is not self - aligned the results could be quite arbitrary ( and the Ai agent has a lot of power to manipulate ) 3 ?"] "
internal human system ["Q-159 Who could be quite arbitrary ( and the Ai agent has a lot of power to manipulate ) 3 ?"] "
AI agent ["Q-160 Who has a lot of power to manipulate ) 3 ?"] "
Max Daniel Ryan Carey Rohin Shah Owen Cotton-Barratt ["Q-161 Who including the human aggregation process itself ?"] "
the human aggregation process itself ["Q-162 Who could include for example some deep Nn based black - box trained on a large amount of human data predicting what would the human want ( or approve ) ?"] "
deep NN based black-box ["Q-163 Who based on a D on a large amount of human data predicting what would the human want ( or approve ) ?"] "
human data ["Q-164 Who predicting what would the human want ( or approve ) ?"] "
Max Daniel Ryan Carey Rohin Shah Owen Cotton-Barratt ["Q-165 Who approve ) ?"] "
do.\u201dIn practice options 1 ["Q-166 Who defining alignment as a state where the \u201c A is trying to do what H wants it to do ?"] "
do.\u201dIn practice options 1 ["Q-167 Who is trying to do what H wants it to do ?"] "
do.\u201dIn practice options 1 ["Q-168 Who wants it to do ?"] "
1 the agent ["Q-169 Who can take an action with the intention to elicit feedback from some subpart ?"] "
some subpart.)We ["Q-170 Who can construct a rich space of various meanings of & quot ; alignment & quot ; by combining basic directions ?"] "
Max Daniel Ryan Carey Rohin Shah Owen Cotton-Barratt ["Q-171 Who combining basic directions ?"] "
basic directions ["Q-172 Who can analyze how these options interact with various alignment research programs ?"] "
CIRL and similar approaches. The problematic part of this is by carefully crafted queries it is possible to give voice to different sub-agenty systems (or with more nuance give them very different power in the aggregation process). One problem with this is if the internal human system is not self-aligned the results could be quite arbitrary (and the AI agent has a lot of power to manipulate)3. Alignment with the whole system including the human aggregation process itself. This could include for example some deep NN based black-box trained on a large amount of human data predicting what would the human want (or approve).4. Adding layers of indirection to the question such as defining alignment as a state where the \u201cA is trying to do what H wants it to do.\u201dIn practice options 1. and 2. can collapse into one as far as there is some feedback loop between the AI agent actions and the human reward signal. (Even in case 1 the agent can take an action with the intention to elicit , Max Daniel Ryan Carey Rohin Shah Owen Cotton-Barratt " ["Q-174 Who is Ida ?"] "
forward arbitrary properties ["Q-175 What ida - like schemes can probably carry to more powerful systems as long as you are able to construct the individual step preserving the property ?"] "
IDA-like schemes ["Q-176 Who can probably carry forward arbitrary properties to more powerful systems as long as you are able to construct the individual step preserving the property ?"] "
IDA-like schemes ["Q-177 Who are able to construct the individual step preserving the property ?"] "
Max Daniel Ryan Carey Rohin Shah Owen Cotton-Barratt ["Q-178 Who preserving the property ?"] "
one full cycle of distillation and amplification which can be arbitrarily small).Distilling and amplifying the alignment ["Q-179 What Distilling and amplifying Distilling in sense # 1 ( what the human will actually approve ) is conceptually easiest but unfortunately brings some of the problems of potentially super - human system optimizing for manipulating the human for approval ?"] "
IDA-like schemes can probably carry forward arbitrary properties to more powerful systems as long as we are able to construct the individual step preserving the property. (I.e. one full cycle of distillation and amplification ["Q-180 Who distilling the a N the alignment in sense # 1 ( what the human will actually approve ) is conceptually easiest but unfortunately brings some of the problems of potentially super - human system optimizing for manipulating the human for approval ?"] "
the alignment in sense #1 ["Q-181 Who will actually approve ) is conceptually easiest but unfortunately brings some of the problems of potentially super - human system optimizing for manipulating the human for approval ?"] "
Max Daniel Ryan Carey Rohin Shah Owen Cotton-Barratt ["Q-182 Who optimizing in s N the human for approval ?"] "
AI with humans ["Q-183 Who are mind - crimes ?"] "
More subtle risk ["Q-184 Who is related to the fact that as the implicit model of human \u201c wants \u201d scales ( becomes less bounded ) you ?"] "
the implicit model of human ["Q-185 Who wants \u201d scales ( becomes less bounded ) you ?"] "
Max Daniel Ryan Carey Rohin Shah Owen Cotton-Barratt ["Q-186 Who may scale at different rates Ii ?"] "
Max Daniel Ryan Carey Rohin ["Q-187 Who Ii ?"] "
outcome equilibria ["Q-188 Who may change even if the sub - parts scale at the same rate ?"] "
Alignment in sense #4 ["Q-189 How much seems more vague and moves the burden of understanding the problem in part to the side of the Ai ?"] "
Alignment ["Q-190 Who understanding the problem in part to the side of the Ai ?"] "
that at the end the AI will be aligned with some part of the human mind in a self-consistent way ["Q-191 What can you imagine at the end the Ai will be aligned with some part of the human mind in a self - consistent way ( the part will be a fixed point of the alignment structure ) ?"] "
AI agent has a lot of power to manipulate)3. Alignment with the whole system including the human aggregation process itself. This could include for example some deep NN based black-box trained on a large amount of human data predicting what would the human want (or approve).4. Adding layers of indirection to the question such as defining alignment as a state where the \u201cA is trying to do what H wants it to do.\u201dIn practice options 1. and 2. can collapse into one as far as there is some feedback loop between the AI agent actions and the human reward signal. (Even in case 1 the agent can take an action with the intention to elicit feedback from some subpart.)We can construct a rich space of various meanings of "alignment" by combining basic directions.Now we can analyze how these options interact with various alignment research programs.Probably the most interesting case is IDA. IDA-like schemes can probably carry forward arbitrary properties to more powerful system , the end the AI " ["Q-193 Who will be aligned with some part of the human mind in a self - consistent way ( the part will be a fixed point of the alignment structure ) ?"] "
some part of the human mind in a self-consistent way ["Q-194 Who will be a fixed point of the alignment structure ) ?"] "
Max Daniel Ryan Carey Rohin Shah Owen Cotton-Barratt ["Q-195 Who is a priori unclear if a unique fixed point exists ?"] "
the AI ["Q-196 Who become similar to case # 2 ?"] "
the AI ["Q-197 Who seems inevitable the Ai will need to contain some structure representing what the human wants the Ai to do which may cause problems similar to # 3 ?"] "
the AI ["Q-198 Who will need to contain some structure representing what the human wants the Ai to do which may cause problems similar to # 3 ?"] "
structure ["Q-199 Who representing what the human wants the Ai to do which may cause problems similar to # 3 ?"] "
AI agent has a lot of power to manipulate)3. Alignment with the whole system including the human aggregation process itself. This could include for example some deep NN based black-box trained on a large amount of human data predicting what would the human want (or approve).4. Adding layers of indirection to the question such as defining alignment as a state where the \u201cA is trying to do what H wants it to do.\u201dIn practice options 1. and 2. can collapse into one as far as there is some feedback loop between the AI agent actions and the human reward signal. (Even in case 1 the agent can take an action with the intention to elicit feedback from some subpart.)We can construct a rich space of various meanings of "alignment" by combining basic directions.Now we can analyze how these options interact with various alignment research programs.Probably the most interesting case is IDA. IDA-like schemes can probably carry forward arbitrary properties to more powerful system , Max Daniel Ryan Carey Rohin " ["Q-201 Who has this property ?"] "
Rider-centric and meme-centric alignmentMany alignment proposals ["Q-202 Who seem to focus on interacting just with the conscious narrating and rationalizing part of mind ?"] "
Rider-centric ["Q-203 Who interacting just with the conscious narrating and rationalizing part of mind ?"] "
just a one part entangled ["Q-204 What is if this in some complex interaction with other parts there are specific reasons why this may be problematic ?"] "
Rider-centric ["Q-205 Who is just a one part entangled in some complex interaction with other parts there are specific reasons why this may be problematic ?"] "
Rider-centric ["Q-206 Who entangled in some complex interaction with other parts there are specific reasons why this may be problematic ?"] "
extracting individual preferences from a single human ["Q-207 Who may be problematic ?"] "
the \u201crider ["Q-208 Who highly engaged with tracking societal rules interactions and memes ?"] "
the \u201crider ["Q-209 Who tracking societal rules interactions and memes ?"] "
plausible the \u201cvalues ["Q-210 What does it seems \u201d learned from it will be mostly aligned with societal norms and interests of memeplexes and not \u201c fully human \u201d ?"] "
rider ["Q-211 Who seems plausible the \u201c values \u201d learned from it will be mostly aligned with societal norms and interests of memeplexes and not \u201c fully human \u201d ?"] "
values ["Q-212 Who \u201d learned from it will be mostly aligned with societal norms and interests of memeplexes and not \u201c fully human \u201d ?"] "
values ["Q-213 Who will be mostly aligned with societal norms and interests of memeplexes and not \u201c fully human \u201d ?"] "
worrisome ["Q-214 What is this from a meme - centric perspective humans are just a substrate and not necessarily the best one ?"] "
Metapreferences ["Q-215 Who \u201d can often in fact be mostly a meta - preference to have preferences compatible with other people based on simulations of such people ?"] "
Metapreferences ["Q-216 Who be mostly a meta - preference to have preferences compatible with other people based on simulations of such people ?"] "
Metapreferences ["Q-217 Who based on simulations of such people ?"] "
preferences ["Q-218 What may this make surprisingly hard to infer human values by trying to learn what individual humans want without the social context ( necessitating inverting several layers of simulation ) ?"] "
preferences ["Q-219 What may this make it surprisingly hard to you N by trying to learn what individual humans want without the social context ( necessitating inverting several layers of simulation ) ?"] "
Metapreferences ["Q-220 Who may make it surprisingly hard to infer human values by trying to learn what individual humans want without the social context ( necessitating inverting several layers of simulation ) ?"] "
human values ["Q-221 Who trying to learn what individual humans want without the social context ( necessitating inverting several layers of simulation ) ?"] "
individual humans ["Q-222 Who want without the social context ( necessitating inverting several layers of simulation ) ?"] "
individual humans want without the social context ["Q-223 Who necessitating inverting several layers of simulation ) ?"] "
the case ["Q-224 What is if this whole approach of extracting individual preferences from a single human could be problematic ?"] "
Metapreferences ["Q-225 Who is the case the whole approach of extracting individual preferences from a single human could be problematic ?"] "
Metapreferences ["Q-226 Who extracting individual preferences from a single human could be problematic ?"] "
Max Daniel Ryan Carey Rohin Shah Owen Cotton-Barratt ["Q-227 Who could be problematic ?"] "
problematic ["Q-228 Who is probably more relevant to some \u201c prosaic \u201d alignment problems ) Implicationssome of the above mentioned points of disagreements point toward specific ways how some of the existing approaches to value alignment may fail ?"] "
prosaic\u201d ["Q-229 Who mentioned points of disagreements point toward specific ways how some of the existing approaches to value alignment may fail ?"] "
prosaic\u201d ["Q-230 Who existing approaches to value alignment may fail ?"] "
value alignment ["Q-231 Who may fail ?"] "
approval ["Q-232 What may several illustrative examplesinternal conflict lead to inaction ( also to not expressing or disapproval ) ?"] "
examplesInternal conflict ["Q-233 Who may lead to inaction ( also to not expressing approval or disapproval ) ?"] "
outcome ["Q-234 While by what many existing approaches existing such situation only of the conflict the internal experience of the human seems to be quite different with and without the conflictdifficulty with splitting \u201c beliefs \u201d and \u201c motivations \u201d ?"] "
conflict the internal experience ["Q-235 While of what many existing approaches existing such situation only by the outcome internal experience of the human seems to be quite different with and without the conflictdifficulty with splitting \u201c beliefs \u201d and \u201c motivations \u201d ?"] "
internal experience of the human ["Q-236 While of what many existing approaches existing such situation only by the outcome of the conflict the internal experience human seems to be quite different with and without the conflictdifficulty with splitting \u201c beliefs \u201d and \u201c motivations \u201d ?"] "
the conflictDifficulty ["Q-237 While without what many existing approaches existing such situation only by the outcome of the conflict the internal experience of the human seems to be quite different with and with splitting \u201c beliefs \u201d and \u201c motivations \u201d ?"] "
splitting ["Q-238 While with what many existing approaches existing such situation only by the outcome of the conflict the internal experience of the human seems to be quite different with and without the conflictdifficulty \u201c beliefs \u201d and \u201c motivations \u201d ?"] "
many existing approaches ["Q-239 While what N only by the outcome of the conflict the internal experience of the human seems to be quite different with and without the conflictdifficulty with splitting \u201c beliefs \u201d and \u201c motivations \u201d ?"] "
beliefs\u201d ["Q-240 While what many existing approaches existing such situation only by the outcome of the conflict the internal experience of the human seems to be quite different with and without the conflictdifficulty with splitting and \u201c motivations \u201d ?"] "
many existing approaches ["Q-241 Who existing such s N such situation only by the outcome of the conflict the internal experience of the human seems to be quite different with and without the conflictdifficulty with splitting \u201c beliefs \u201d and \u201c motivations \u201d ?"] "
Linda Linsefors Alexey Turchin Tom\u00e1\u0161 Gaven\u010diak Max Daniel Ryan Carey Rohin Shah Owen Cotton-Barratt ["Q-242 Who \u201d ?"] "
Learning ["Q-243 Who optimizing on them ?"] "
UpsideOn the positive ["Q-244 Who could be expected the sub - agents still easily agree on things like \u201c it is better not to die a horrible death \u201d ?"] "
sub-agents ["Q-245 Who still easily agree on things like \u201c it is better not to die a horrible death \u201d ?"] "
sub-agents ["Q-246 Who is better not to die a horrible death \u201d ?"] "
bounded sub-agents ["Q-247 Who do not actually care about the world may be a viable design from the safety perspective ?"] "
bounded sub-agents ["Q-248 Who may be a viable design from the safety perspective ?"] "
case ["Q-249 What may often it be that some research was already done on the topic just not with Ai alignment in mind and a high value work could be \u201c importing the knowledge \u201d into safety community ?"] "
technical research directionsWhile ["Q-250 Who may be the case that some research was already done on the topic just not with Ai alignment in mind and a high value work could be \u201c importing the knowledge \u201d into safety community ?"] "
some research ["Q-251 Who was already done on the topic just not with Ai alignment in mind and a high value work could be \u201c importing the knowledge \u201d into safety community ?"] "
high value work ["Q-252 Who could be \u201c importing the knowledge \u201d into safety community ?"] "
Understanding hierarchical modelling ["Q-253 What does it seems human hierarchical models of the world optimize some & quot ; boundedly rational & quot ; function ?"] "
Understanding hierarchical modelling ["Q-254 What does it seems plausible the human hierarchical models of the world optimize & quot ; boundedly rational & quot ; function ?"] "
Understanding hierarchical modelling ["Q-255 Who seems plausible the human hierarchical models of the world optimize some & quot ; boundedly rational & quot ; function ?"] "
work ["Q-256 What did a good bounded rationality model bounded as a principle for how to s N ?"] "
good ["Q-257 Who bounded principle for h W as a principle for how to select models ?"] "
minimum description length principle ["Q-258 Who just taking some more \u201c human \u201d ( energy ? ) costs as cost function ?"] "
utility function. For example consider the sequence of game outcomes in repeated PD game. If you take the sequence of game outcomes (e.g. 1 defect-defect 2cooperate-defect ... ) as a sequence of actions the actions are not representing some well behaved preferences and in general not maximizing some utility function. Note This is not to claim VNM rationality is useless - it still has the normative power - and some types of interaction lead humans to approximate SEU optimizing agents better. One case is if mainly one specific subsystem (subagent) is in control and the decision does not go via too complex generative modelling. So we should expect more VNM-like behaviour in experiments in narrow domains than in cases where very different sub-agents are engaged and disagree. Another case is if sub-agents are able to do some \u201csocial welfare function\u201d style aggregation bargain or trade - the result could be more VNM-like at least in specific points of time with the caveat that , Inverting agent motivations in MDPs is a different problem from inverting motivations in multi-agent situations where game-theory style interactions " ["Q-260 What this leads to the inverse game theory problem observe learn the objectives ?"] "
Inverting agent motivations ["Q-261 Who leads to the inverse game theory problem observe the interactions learn the objectives ?"] "
Max Daniel Ryan Carey Rohin Shah Owen Cotton-Barratt ["Q-262 Who learn the objectives ?"] "
Learning values ["Q-263 Who may run into the problem that big part of A \u2019 s motivation is based on A simulating Bcde ( on the same \u201c human \u201d hardware just incorporating individual differences ) ?"] "
big part of A\u2019s motivation ["Q-264 Who is based on A simulating Bcde ( on the same \u201c human \u201d hardware just incorporating individual differences ) ?"] "
Max Daniel Ryan Carey Rohin Shah Owen Cotton-Barratt ["Q-265 Who just incorporating individual differences ) ?"] "
BCDE ["Q-266 What in that case learning learning values \u201d just from A \u2019 s actions could be in principle more difficult than observing the whole group trying to learn some \u201c human universals \u201d and some \u201c human specifics \u201d ?"] "
REPTILE ["Q-267 Who thinking meta - learning algorithms ( ( by making a parallel with meta - learning algorithms ( e ?"] "
REPTILE ["Q-268 Who making a parallel with meta - learning algorithms ( e ?"] "
wipes out the opposition\u201d.What ["Q-269 What happens if me put a system composed of sub - agents under optimization pressure ? to whom is it not clear what would happen if me for example successfully \u201c learn \u201d such a system of \u201c motivations \u201d from a human and then put it inside of some optimization process selecting for Vnm - like rational behaviour ?"] "
sub-agents under optimization pressure?It is not clear to me what would happen if you for example successfully \u201clearn\u201d such a system of \u201cmotivations\u201d from a human and then put it inside of some optimization process selecting for VNM-like rational behaviour. It seems plausible the somewhat messy system will be forced to get more internally aligned; for example one way how it can happen is one of the sub-agent systems takes control and \u201cwipes out the opposition\u201d.What ["Q-270 What happens if me put did a system composed under optimization pressure ? it is not clear to me what would happen if me for example successfully \u201c learn \u201d such a system of \u201c motivations \u201d from a human and then put it inside of some optimization process selecting for Vnm - like"
optimization pressure?It ["Q-271 What happens if me put under what did a system composed of sub - agents ? it is not clear to me what would happen if me for example successfully \u201c learn \u201d such a system of \u201c motivations \u201d from a human and then put it inside of some optimization process selecting for Vnm - like rational behaviour ?"] "
wipes out the opposition\u201d.What ["Q-272 What happens if me put a system composed of sub - agents under optimization pressure ? if whom is it not clear to me what would happen for example successfully \u201c learn \u201d such a system of \u201c motivations \u201d from a human and then put it inside of some optimization process selecting for Vnm - like rational behaviour ?"] "
wipes out the opposition\u201d.What ["Q-273 What happens if me put a system composed of sub - agents under optimization pressure ? for what is it not clear to me what would happen if me successfully \u201c learn \u201d such a system of \u201c motivations \u201d from a human and then put it inside of some optimization process selecting for Vnm - like rational behaviour ?"] "
\u201clearn ["Q-274 What happens if me put a system composed of sub - agents under optimization pressure ? it is not clear to me what would happen if me for example successfully of what \u201d such a system \u201d from a human and then put it inside of some optimization process selecting for Vnm - like rational behaviour ?"] "
wipes out the opposition\u201d.What ["Q-275 What happens if me put a system composed of sub - agents under optimization pressure ? it is not clear to me what would happen if me for example successfully \u201c learn \u201d such a system of from what \u201c motivations \u201d human and then put it inside of some optimization process selecting for Vnm - like rational behaviour ?"] "
wipes out the opposition\u201d.What ["Q-276 What happens if me put a system composed of sub - agents under optimization pressure ? it is not clear to me what would happen if me for example successfully \u201c learn \u201d such a system of \u201c motivations \u201d from inside what a human and then put it for Vnm - like rational behaviour ?"] "
wipes out the opposition\u201d.What ["Q-277 What happens if me put a system composed of sub - agents under optimization pressure ? it is not clear to me what would happen if me for example successfully \u201c learn \u201d such a system of \u201c motivations \u201d from a human and then put it inside of some optimization process selecting selecting rational behaviour ?"] "
wipes out the opposition\u201d.What ["Q-278 What does it seems somewhat messy system will be forced to get more internally aligned ; for example one way how it can happen is one of the sub - agent systems takes control and \u201c wipes out the opposition \u201d ?"] "
VNM-like rational behaviour ["Q-279 Who seems plausible the somewhat messy system will be forced to get more internally aligned ; for example one way how it can happen is one of the sub - agent systems takes control and \u201c wipes out the opposition \u201d ?"] "
somewhat messy system ["Q-280 Who will be forced to get more internally aligned ; for example one way how it can happen is one of the sub - agent systems takes control and \u201c wipes out the opposition \u201d ?"] "
AI withGiven this distinction between the whole mind and sub-agents there are at least four somewhat different notions of what alignment can mean.1. Alignment with the outputs of the generative models without querying the human. This includes for example proposals centered around approval. In this case generally only the output of the internal aggregation has some voice.2. Alignment with the outputs of the generative models with querying the human. This includes for example CIRL and similar approaches. The problematic part of this is by carefully crafted queries it is possible to give voice to different sub-agenty systems (or with more nuance give them very different power in the aggregation process). One problem with this is if the internal human system is not self-aligned the results could be quite arbitrary (and the AI agent has a lot of power to manipulate)3. Alignment with the whole system including the human aggregation process itself. This could include for example some deep , sub-agent systems " ["Q-282 Who takes control and \u201c wipes out the opposition \u201d ?"] "
Karl Friston ["Q-283 Who wipes out the opposition \u201d ?"] "
wipes out the opposition\u201d.What ["Q-284 What happens if me make did a system composed less computationally bounded ? it is not clear that the relative powers of sub - agents will scale the same with the whole system becoming less computationally bounded ?"] "
wipes out the opposition\u201d.What ["Q-285 What happens if me make a system composed of sub - agents less computationally bounded ? that what is it not clear of sub - agents will scale the same with the whole system becoming less computationally bounded ?"] "
wipes out the opposition\u201d.What ["Q-286 What happens if me make a system composed of sub - agents less computationally bounded ? is it not clear that the relative powers will scale the same with the whole system becoming less computationally bounded ?"] "
wipes out the opposition\u201d.What ["Q-287 What happens if me make a system composed of sub - agents less computationally bounded ? it is not clear that with what will the relative powers of sub - agents scale the same less computationally bounded ?"] "
wipes out the opposition\u201d.What ["Q-288 What happens what do if me make of sub - agents less computationally bounded ? it is not clear that the relative powers of sub - agents will scale the same with the whole system becoming less computationally bounded ?"] "
wipes out the opposition\u201d.What ["Q-289 What happens if me make a system composed of sub - agents less computationally bounded ? it is not clear that what will the relative powers of sub - agents scale same with the whole system becoming less computationally bounded ?"] "
MIRI ["Q-290 Who is related to Miri \u2019 s sub - agents agenda ) suggested non - technical research directionshuman self - alignment ?"] "
Notes & ["Q-291 What all other things being being seem safer to try to align Ai with humans which are self - aligned ?"] "
All other things ["Q-292 Who being equal it seem safer to try to align Ai with humans which are self - aligned ?"] "
All other things ["Q-293 Who seem safer to try to align Ai with humans which are self - aligned ?"] "
Notes & ["Q-294 Who writing there you V an annoyance there is a plenty of reasons to believe the view human mind is a unified wholeat first approximation optimizing some utility functionthis utility is over world - statesis neither a good model of humans nor the best model how to think about Ai ?"] "
the view human mind ["Q-295 Who is a unified wholeat first approximation optimizing some utility functionthis utility is over world - statesis neither a good model of humans nor the best model how to think about Ai ?"] "
Notes & ["Q-296 Who optimizing some utility functionthis utility is over world - statesis neither a good model of humans nor the best model how to think about Ai ?"] "
utility functionthis utility ["Q-297 Who is over world - statesis neither a good model of humans nor the best model how to think about Ai ?"] "
paradigm shaping a lot of thoughts and research. I hope if the annoyance surfaced in the text it is not too distractive ["Q-298 What is yet it of thoughts and research ?"] "
Notes & ["Q-299 Who is the paradigm shaping a lot of thoughts and research ?"] "
Notes & Discussion MotivationsPart of my motivation for writing this was an annoyance there is a plenty of reasons to believe the view human mind is a unified wholeat first approximation optimizing some utility functionthis utility is over world-statesis neither a good model of humans nor the best model how to think about AI. Yet it is the paradigm shaping a lot of thoughts and research. I ["Q-300 Who hope if the annoyance surfaced in the text it is not too distractive ?"] "
the annoyance ["Q-301 Who surfaced in the text it is not too distractive ?"] "
Max Daniel Ryan Carey Rohin Shah Owen Cotton-Barratt ["Q-302 Who is not too distractive ?"] "
dozens ["Q-303 What are multi - part minds in literaturethere of schemes describing mind as some sort of multi - part system so there is nothing original about this claim ?"] "
schemes ["Q-304 Who describing mind as some sort of multi - part system so there is nothing original about this claim ?"] "
Based on a very shallow review ["Q-305 Who seems the way how psychologists often conceptualize the sub - agents is as subpersonalities which are almost fully human ?"] "
psychologists ["Q-306 Who often conceptualize the sub - agents is as subpersonalities which are almost fully human ?"] "
sub-agents ["Q-307 Who is as subpersonalities which are almost fully human ?"] "
psychologists ["Q-308 Who seems to err on the side of sub - agents being too complex and anthropomorphising instead of trying to describe formally ?"] "
sub-agents ["Q-309 Who being too complex and anthropomorphising instead of trying to describe formally ?"] "
Karl Friston ["Q-310 Who anthropomorphising instead of trying to describe formally ?"] "
sub-agents ["Q-311 Who trying to describe formally ?"] "
Minsky\u2019s \u201cSociety of Mind ["Q-312 Who has sub - agents which often seem to be too simple ( e ?"] "
research community ["Q-313 Who is aware of them \u201d ?"] "
Linda Linsefors Alexey Turchin Tom\u00e1\u0161 Gaven\u010diak Max Daniel Ryan Carey Rohin Shah Owen Cotton-Barratt ["Q-314 Who \u201d ?"] "
I ["Q-315 Who agree this is the case on the other hand 1 ?"] "
IDA ["Q-316 Who is the case on the other hand 1 ?"] "
problems ["Q-317 What may the described model of mind pose even for more sophisticated approaches 2 ?"] "
model of mind ["Q-318 Who may pose problems even for more sophisticated approaches 2 ?"] "
people ["Q-319 What is your impression still have something like utility - maximizing agent as a the central example ?"] "
My ["Q-320 Whose impression is many people still have something like utility - maximizing agent as a the central example ?"] "
My impression ["Q-321 Who is many people still have something like utility - maximizing agent as a the central example ?"] "
people ["Q-322 Who still have something like utility - maximizing agent as a the central example ?"] "
complementary objection ["Q-323 Who is that while interacting sub - agents may be a more precise model it seems in practice it is often enough to think about humans as unified agents is good enough and may be good enough even for the purpose of Ai alignment ?"] "
sub-agents ["Q-324 Who interacting more precise model it seems a more precise model it seems in practice it is often enough to think about humans as unified agents is good enough and may be good enough even for the purpose of Ai alignment ?"] "
interacting sub-agents ["Q-325 Who seems in practice it is often enough to think about humans as unified agents is good enough and may be good enough even for the purpose of Ai alignment ?"] "
interacting sub-agents ["Q-326 Who is often enough to think about humans as unified agents is good enough and may be good enough even for the purpose of Ai alignment ?"] "
unified agents ["Q-327 Who is good enough and may be good enough even for the purpose of Ai alignment ?"] "
humans as unified agents ["Q-328 Who may be good enough even for the purpose of Ai alignment ?"] "
.. ["Q-329 What is your intuitions on this based on the connection of rationality to exploitability it seems humans are usually more rational and less exploitable when thinking about narrow domains but can be quite bad when vastly different subsystems are in in play ( imagine on one side a person exchanging stock and money on the other side some units of money free time friendship etc ?"] "
exploitability ["Q-330 Whom is your intuitions on this based on the connection of rationality to e N seems humans are usually more rational and less exploitable when thinking about narrow domains but can be quite bad when vastly different subsystems are in in play ( imagine on one side a person exchanging stock and money on the other side some units of money free time friendship etc ?"] "
My intuitions ["Q-331 Who is based on the connection of rationality to exploitability it seems humans are usually more rational and less exploitable when thinking about narrow domains but can be quite bad when vastly different subsystems are in in play ( imagine on one side a person exchanging stock and money on the other side some units of money free time friendship etc ?"] "
My intuitions on this is based on the connection of rationality to exploitability ["Q-332 Who seems humans are usually more rational and less exploitable when thinking about narrow domains but can be quite bad when vastly different subsystems are in in play ( imagine on one side a person exchanging stock and money on the other side some units of money free time friendship etc ?"] "
My intuitions ["Q-333 Who are usually more rational and less exploitable when thinking about narrow domains but can be quite bad when vastly different subsystems are in in play ( imagine on one side a person exchanging stock and money on the other side some units of money free time friendship etc ?"] "
narrow domains ["Q-334 Who can be quite bad when vastly different subsystems are in in play ( imagine on one side a person exchanging stock and money on the other side some units of money free time friendship etc ?"] "
different subsystems ["Q-335 Who are in in play ( imagine on one side a person exchanging stock and money on the other side some units of money free time friendship etc ?"] "
.. ["Q-336 Who exchanging stock and money on the other side some units of money free time friendship etc ?"] "
Max Daniel Ryan Carey Rohin Shah Owen Cotton-Barratt ["Q-337 Who are inspired by Cfar ?"] "
slightly unusual epistemic structure1st ["Q-01 Multi - agent predictive minds and Ai alignment Abstract an attempt to map a best - guess model of how to what human values and motivations work ?"] "
Max Daniel Ryan Carey Rohin Shah Owen Cotton-Barratt ["Q-02 Who work to several more technical research questions ?"] "
REPTILE) but in IRL frame.What happens if you put a system composed of sub-agents under optimization pressure?It is not clear to me what would happen if you for example successfully \u201clearn\u201d such a system of \u201cmotivations\u201d from a human and then put it inside of some optimization process selecting for VNM-like rational behaviour. It seems plausible the somewhat messy system will be forced to get more internally aligned; for example one way how it can happen is one of the sub-agent systems takes control and \u201cwipes out the opposition\u201d.What ["Q-03 ]
predictive processing ["Q-04 By what is the mind - model inspired active inference framework and multi - agent models of the mind ?"] "
the mind ["Q-05 Of what is the mind - model inspired by predictive processing / active inference framework and multi - agent models ?"] "
best-guess model of how human values and motivations work to several more technical research questions. The mind-model ["Q-06 What is the mind - model inspired by predictive processing / active inference framework and multi - agent models of the mind ?"] "
The mind-model ["Q-07 Who is inspired by predictive processing / active inference framework and multi - agent models of the mind ?"] "
Alexey Turchin Tom\u00e1\u0161 Gaven\u010diak Max Daniel Ryan Carey Rohin Shah Owen Cotton-Barratt ["Q-08 ]
slightly unusual epistemic structure1st ["Q-09 What does the text has current best - guess model of how human minds work ?"] "
minds work ["Q-010 The text has slightly unusual epistemic structure1st part your current best - guess m N of how human what m m N N N ?"] "
The text ["Q-011 Who has slightly unusual epistemic structure1st part your current best - guess model of how human minds work ?"] "
Alexey Turchin Tom\u00e1\u0161 ["Q-012 ]
value learning ["Q-013 2nd part explores various problems which to what would such mind architecture pose for some approaches ?"] "
some approaches ["Q-014 2nd part explores various problems which for what would such mind architecture pose to value learning ?"] "
various problems ["Q-015 2nd part what e e N N N which such mind architecture would pose for some approaches to value learning ?"] "
mind architecture ["Q-016 Who would pose for some approaches to value learning ?"] "
approachesWhile ["Q-017 Who learning ?"] "
opposition\u201d.What ["Q-018 ]
a model ["Q-019 If what is the argument seems at least plausible you should probably extend the space of active research directions ?"] "
least plausible we ["Q-020 The argument is if at what does such a model seems should probably extend the space of active research directions ?"] "
active research directions ["Q-021 The argument is if such a model seems at of what least plausible you should probably extend the space ?"] "
2nd part explores various problems which such mind architecture would pose for some approaches to value learning. The argument is if such a model seems at least plausible we should probably extend the space ["Q-022 The argument is if such a model seems at what least plausible you should probably extend of active research directions ?"] "
The argument ["Q-023 Who is if such a model seems at least plausible you should probably extend the space of active research directions ?"] "
a model ["Q-024 Who seems at least plausible you should probably extend the space of active research directions ?"] "
a model ["Q-025 Who should probably extend the space of active research directions ?"] "
Alexey Turchin Tom\u00e1\u0161 ["Q-026 ]
the previous ["Q-027 3rd part a list of specific research agendas sometimes by what did specific research questions motivated previous ?"] "
specific research questions ["Q-028 Who motivated by the previous ?"] "
opposition\u201d.What ["Q-029 ]
usefulness ["Q-030 In what you put more credence of research questions suggested in the third part than in the specifics of the model described the first part ?"] "
research questions ["Q-031 Of what you put more credence in the usefulness suggested in the third part than in the specifics of the model described the first part ?"] "
third part ["Q-032 I put in what did credence in the usefulness of research questions suggested than in the specifics of the model described the first part ?"] "
more credence in the usefulness of research questions suggested in the third part than in the specifics ["Q-033 I put than what did credence in the usefulness of research questions suggested in the third part of the model described the first part ?"] "
more credence in the usefulness of research questions suggested in the third part than in the specifics of the model ["Q-034 I put of what did credence in the usefulness of research questions suggested in the third part than in the specifics described the first part ?"] "
more credence ["Q-035 What you put in the usefulness of research questions suggested in the third part than in the specifics of the model described the first part ?"] "
the first part ["Q-036 I put more credence in the usefulness of research questions suggested in what the third part than in the specifics of the model described ?"] "
I ["Q-037 Who put more credence in the usefulness of research questions suggested in the third part than in the specifics of the model described the first part ?"] "
research questions ["Q-038 Who suggested in the third part than in the specifics of the model described the first part ?"] "
Linda Linsefors Alexey Turchin Tom\u00e1\u0161 Gaven\u010diak Max Daniel Ryan Carey ["Q-039 Who described the first part ?"] "
Alexey Turchin Tom\u00e1\u0161 ["Q-040 ]
cognitive neuroscience ["Q-041 Also i should be warned in what do you have no formal training and similar fields and it is completely possible you \u2019 m making some basic mistakes ?"] "
research questions suggested in the third part than in the specifics of the model described the first part ["Q-042 Also what should i be warned have no formal training in cognitive neuroscience and similar fields and it is completely possible you \u2019 m making some basic mistakes ?"] "
no formal training ["Q-043 Also i should be warned what do you have in cognitive neuroscience and similar fields and it is completely possible you \u2019 m making some basic mistakes ?"] "
similar fields ["Q-044 Also i should be warned you have no formal training in cognitive neuroscience and what is similar fields and it \u2019 m making some basic mistakes ?"] "
possible I ["Q-045 Also i should be warned you have no formal training in cognitive neuroscience and similar fields and it is completely what possible you \u2019 J basic mistakes ?"] "
research questions suggested in the third part than in the specifics of the model described the first part ["Q-046 Who should be warned you have no formal training in cognitive neuroscience and similar fields and it is completely possible you \u2019 m making some basic mistakes ?"] "
I ["Q-047 Who have no formal training in cognitive neuroscience and similar fields and it is completely possible you \u2019 m making some basic mistakes ?"] "
Max Daniel Ryan Carey Rohin Shah Owen Cotton-Barratt ["Q-048 Who is completely possible you \u2019 m making some basic mistakes ?"] "
Max Daniel Ryan Carey Rohin Shah Owen Cotton-Barratt ["Q-049 Who \u2019 m making some basic mistakes ?"] "
Alexey Turchin Tom\u00e1\u0161 ["Q-050 ]
reality ["Q-051 Still your feeling is even if the model described in the first part is wrong something from the broad class of \u201c motivational systems not naturally described to what \u201d by utility functions is close and understanding problems from the 3rd part can be useful ?"] "
the model ["Q-052 Still if what is your feeling even in the first part is wrong something from the broad class of \u201c motivational systems not naturally described by utility functions \u201d is close to reality and understanding problems from the 3rd part can be useful ?"] "
first part ["Q-053 Still your feeling is even in what if the model described is wrong something from the broad class of \u201c motivational systems not naturally described by utility functions \u201d is close to reality and understanding problems from the 3rd part can be useful ?"] "
broad class ["Q-054 Still your feeling is even if the model described in from what is the first part wrong something of \u201c motivational systems not naturally described by utility functions \u201d is close to reality and understanding problems from the 3rd part can be useful ?"] "
motivational systems ["Q-055 Still your feeling is even if the model described in of what is the first part wrong something from the broad class motivational systems not naturally described by utility functions \u201d is close to reality and understanding problems from the 3rd part can be useful ?"] "
utility functions ["Q-056 Still your feeling is even if the model described in the first part is wrong something from the broad class of \u201c by what motivational systems not naturally described \u201d is close to reality and understanding problems from the 3rd part can be useful ?"] "
the 3rd part ["Q-057 Still your feeling is even if the model described in the first part is wrong something from the broad class of \u201c motivational systems not naturally described from what \u201d by utility functions is close to reality and understanding problems can be useful ?"] "
wrong something ["Q-058 Still your feeling is even if the model described in what is the first part from the broad class of \u201c motivational systems not naturally described by utility functions \u201d is close to reality and understanding problems from the 3rd part can be useful ?"] "
my feeling ["Q-059 Still whose feeling is even if the model described in the first part is wrong something from the broad class of \u201c motivational systems not naturally described by utility functions \u201d is close to reality and understanding problems from the 3rd part can be useful ?"] "
Still my feeling ["Q-060 Who is even if the model described in the first part is wrong something from the broad class of \u201c motivational systems not naturally described by utility functions \u201d is close to reality and understanding problems from the 3rd part can be useful ?"] "
the model ["Q-061 Who described in the first part is wrong something from the broad class of \u201c motivational systems not naturally described by utility functions \u201d is close to reality and understanding problems from the 3rd part can be useful ?"] "
the model ["Q-062 Who is wrong something from the broad class of \u201c motivational systems not naturally described by utility functions \u201d is close to reality and understanding problems from the 3rd part can be useful ?"] "
motivational systems ["Q-063 Who not naturally described by utility functions \u201d is close to reality and understanding problems from the 3rd part can be useful ?"] "
utility functions ["Q-064 Who \u201d is close to reality and understanding problems from the 3rd part can be useful ?"] "
Max Daniel Ryan Carey Rohin Shah Owen Cotton-Barratt ["Q-065 Who can be useful ?"] "
Alexey Turchin Tom\u00e1\u0161 ["Q-066 ]
Multi-agent predictive minds ["Q-067 How what minds w R is a \u201c best guess model \u201d ?"] "
a \u201cbest guess model\u201d ["Q-068 How minds workas noted what is this ?"] "
minds workAs ["Q-069 Who workas noted this is a \u201c best guess model \u201d ?"] "
How minds workAs ["Q-070 Who is a \u201c best guess model \u201d ?"] "
Alexey Turchin Tom\u00e1\u0161 ["Q-071 ]
large uncertainty ["Q-072 What do you have about how human minds actually work ?"] "
CFAR ["Q-073 Who have large uncertainty about how human minds actually work ?"] "
human minds ["Q-074 Who actually work ?"] "
Alexey Turchin Tom\u00e1\u0161 ["Q-075 ]
this ["Q-076 But if you could place just one on what would bet you bet ?"] "
just one bet I ["Q-077 What could but if you place would bet on this ?"] "
I ["Q-078 Who could place just one bet you would bet on this ?"] "
one bet I ["Q-079 Who would bet on this ?"] "
Alexey Turchin Tom\u00e1\u0161 Gaven\u010diak Max Daniel Ryan Carey Rohin Shah Owen Cotton-Barratt ["Q-080 ]
multi-agent models of the mind ["Q-081 What does the model has predictive processing and the active inference framework ?"] "
The model has two prerequisite ideas predictive processing and the active inference framework. I'll ["Q-082 Who has two prerequisite ideas predictive processing and the active inference framework ?"] "
two ["Q-083 How much does the model has prerequisite ideas predictive processing and the active inference framework ?"] "
opposition\u201d.What ["Q-084 ]
summaries ["Q-085 I & # x27 ; what J and links for elsewhere ?"] "
I'll ["Q-086 Who give brief summaries and links for elsewhere ?"] "
opposition\u201d.What ["Q-087 ]
hierarchical generative way ["Q-088 In the predictive processing / in what the active inference framework brains constantly predict sensory inputs ?"] "
sensory inputs ["Q-089 In the predictive processing / what the active inference framework brains constantly p J in a hierarchical generative way ?"] "
predictive processing / the active inference framework brains ["Q-090 Who constantly predict sensory inputs in a hierarchical generative way ?"] "
opposition\u201d.What ["Q-091 ]
\u201d ["Q-092 As a dual action is also \u201c generated \u201d by the same machinery ( changing environment to match \u201c predicted \u201d to whom desirable inputs and generating generating action which can lead ) ?"] "
machinery ["Q-093 As by what is a dual action also \u201c generated \u201d ( changing environment to match \u201c predicted \u201d desirable inputs and generating action which can lead to them ) ?"] "
opposition\u201d.What ["Q-094 ]
style of free energy in that language).Another important ingredient is bounded rationality ["Q-095 The \u201c currency \u201d on which in what is the whole system running is prediction error ( or something of free energy in that language ) ?"] "
free energy ["Q-096 The \u201c currency \u201d on which of what is the whole system running is prediction error ( or something in style in that language ) ?"] "
bounded rationality ["Q-097 The \u201c currency \u201d on which in what is the whole system running is prediction error ( or something in style of free energy ) ?"] "
prediction error ["Q-098 The \u201c currency \u201d on which what is the whole system running is ( or something in style of free energy in that language ) ?"] "
currency ["Q-099 Who is running is prediction error ( or something in style of free energy in that language ) ?"] "
Alexey Turchin Tom\u00e1\u0161 ["Q-0100 ]
rationality ["Q-0101 What is another important ingredient bounded ?"] "
Max Daniel Ryan Carey Rohin Shah Owen Cotton-Barratt ["Q-0102 Who is bounded rationality you ?"] "
opposition\u201d.What ["Q-0103 ]
opposition\u201d.What ["Q-0104 ]
bounded rationality ["Q-0105 For what a limited amount of resources being being available ?"] "
Max Daniel Ryan Carey Rohin Shah Owen Cotton-Barratt ["Q-0106 Who being available for cognition ?"] "
opposition\u201d.What ["Q-0107 ]
hierarchical modelling ["Q-0108 Indeed the specifics of hierarchical modelling to what neural architectures principle of reusing and repurposing everything all reusing to be related to quite brutal optimization pressure likely related s enormous energy consumption ( it is unclear to me if this can be also reduced to the same \u201c currency \u201d ?"] "
me if this can be also reduced ["Q-0109 Indeed the specifics of hierarchical modelling neural architectures principle of reusing and repurposing everything all seem to be related to quite brutal optimization pressure likely related to brain \u2019 s enormous energy consumption ( to whom is it unclear if this can be also reduced to the same \u201c currency \u201d ?"] "
the same \u201ccurrency\u201d ["Q-0110 Indeed the specifics of hierarchical modelling neural architectures principle of reusing and repurposing everything all seem to be related to quite brutal optimization pressure likely related to brain \u2019 s enormous energy consumption ( it is unclear to to what can me if this be also reduced ?"] "
It is unclear to me if this can be also reduced ["Q-0111 Indeed the specifics of hierarchical modelling neural architectures principle of reusing and repurposing everything all seem to be related to quite brutal optimization pressure likely related to brain \u2019 s enormous energy consumption ( if what is it unclear to me can be also reduced to the same \u201c currency \u201d ?"] "
everything all ["Q-0112 Indeed the specifics of hierarchical modelling what neural architectures principle of reusing and repurposing reusing seem to be related to quite brutal optimization pressure likely related to brain \u2019 s enormous energy consumption ( it is unclear to me if this can be also reduced to the same \u201c currency \u201d ?"] "
hierarchical modelling ["Q-0113 Indeed the specifics of hierarchical modelling what neural architectures principle of reusing and repurposing everything all reusing to be related to quite brutal optimization pressure likely related to brain \u2019 s enormous energy consumption ( it is unclear to me if this can be also reduced to the same \u201c currency \u201d ?"] "
everything all seem to be related to quite brutal optimization pressure ["Q-0114 Indeed the specifics of hierarchical modelling what neural architectures principle of reusing and repurposing everything all reusing to be related to q R likely related to brain \u2019 s enormous energy consumption ( it is unclear to me if this can be also reduced to the same \u201c currency \u201d ?"] "
enormous energy consumption ["Q-0115 Indeed the specifics of hierarchical modelling neural architectures principle of reusing and repurposing everything all seem to be related to quite what to brain \u2019 s R ( it is unclear to me if this can be also reduced to the same \u201c currency \u201d ?"] "
reduced ["Q-0116 Indeed the specifics of hierarchical modelling neural architectures principle of reusing and repurposing everything all seem to be related to quite brutal optimization pressure likely related to brain \u2019 s enormous energy consumption ( it is unclear to what can me if this be to the same \u201c currency \u201d ?"] "
hierarchical ["Q-0117 Who reusing modelling neural architectures principle of reusing and repurposing everything all seem to be r V to be related to quite brutal optimization pressure likely related to brain \u2019 s enormous energy consumption ( it is unclear to me if this can be also reduced to the same \u201c currency \u201d ?"] "
energy consumption ["Q-0118 Who is unclear to me if this can be also reduced to the same \u201c currency \u201d ?"] "
Karl Friston ["Q-0119 Who can be also reduced to the same \u201c currency \u201d ?"] "
Alexey Turchin Tom\u00e1\u0161 ["Q-0120 ]
Alexey Turchin Tom\u00e1\u0161 ["Q-0121 ]
? The guess ["Q-0122 Assuming this whole how do motivations and \u201c values \u201d arise ? in what is the guess like a \u201c subprogram \u201d is modelling / tracking some variable \u201c predicting \u201d its desirable state and creating the need for action by \u201c signalling \u201d prediction error ?"] "
? The guess is in many cases something like a \u201csubprogram\u201d ["Q-0123 Assuming this whole how do motivations and \u201c values \u201d arise ? like what is the guess in many cases something is modelling / tracking some variable \u201c predicting \u201d its desirable state and creating the need for action by \u201c signalling \u201d prediction error ?"] "
? The guess ["Q-0124 Assuming this whole how do motivations and \u201c values \u201d arise ? the guess is in many cases something like a \u201c subprogram \u201d is modelling / tracking some variable \u201c predicting \u201d its for what desirable state and creating creating the need by \u201c signalling \u201d prediction error ?"] "
? The guess ["Q-0125 Assuming this whole how do motivations and \u201c values \u201d arise ? the guess is in many cases something like a \u201c subprogram \u201d is modelling / tracking some variable \u201c predicting \u201d its by what desirable state and creating creating the need for action \u201d prediction error ?"] "
? The guess ["Q-0126 Assuming this whole how do motivations and \u201c values \u201d arise ? the guess is in many cases something like what is a \u201c subprogram \u201d modelling / tracking desirable state and creating the need for action by \u201c signalling \u201d prediction error ?"] "
? The guess ["Q-0127 Assuming this whole how do motivations and \u201c values \u201d arise ? the guess is in many cases something like a \u201c subprogram \u201d is modelling / tracking some variable \u201c predicting \u201d its what desirable state and creating creating for action by \u201c signalling \u201d prediction error ?"] "
? The guess ["Q-0128 Assuming this whole how do motivations and \u201c values \u201d arise ? the guess is in many cases something like a \u201c subprogram \u201d is modelling / tracking some variable \u201c predicting \u201d its what desirable state and creating creating the need for action by \u201c signalling ?"] "
opposition\u201d.What ["Q-0129 ]
variables ["Q-0130 Note that on what can such subprograms work on very different hierarchical layers of modelling - e ?"] "
very different hierarchical layers ["Q-0131 Note that on what can such subprograms work on variables of modelling - e ?"] "
modelling ["Q-0132 Note that of what can such subprograms work on variables on very different hierarchical layers - e ?"] "
Karl Friston ["Q-0133 Who can work on variables on very different hierarchical layers of modelling - e ?"] "
REPTILE ["Q-0134 Who modelling - e ?"] "
opposition\u201d.What ["Q-0135 ]
meta-learning algorithms ["Q-0136 ]
meta-learning algorithms ["Q-0137 ]
meta-learning algorithms ["Q-0138 ]
tracking ["Q-0139 For what can such sub - systems be large social status \u201d seems to require lot of computation ?"] "
computation ["Q-0140 Such sub - systems can be large for example tracking \u201c of what does social status \u201d seems to require lot ?"] "
feeling hungry\u201d vs. ["Q-0141 What can such sub - systems be large for example tracking social status \u201d seems to require lot of computation ?"] "
feeling hungry\u201d vs. ["Q-0142 Such sub - systems can be large for example tracking \u201c what does social status \u201d seems to r N of computation ?"] "
sub-systems ["Q-0143 Who can be large for example tracking \u201c social status \u201d seems to require lot of computation ?"] "
social status ["Q-0144 Who seems to require lot of computation ?"] "
REPTILE) but in IRL frame.What happens if you put a system composed of sub-agents under optimization pressure?It is not clear to me what would happen if you for example successfully \u201clearn\u201d such a system of \u201cmotivations\u201d from a human and then put it inside of some optimization process selecting for VNM-like rational behaviour. It seems plausible the somewhat messy system will be forced to get more internally aligned; for example one way how it can happen is one of the sub-agent systems takes control and \u201cwipes out the opposition\u201d.What ["Q-0145 ]
response ["Q-0146 How does this relate to emotions ? emotions could be quite complex processes where some higher - level modelling ( to what do \u201c you see a lion \u201d ) leads in lower levels connected to body states some chemicals are released and this interoceptive sensation is re - integrated in the higher levels in the form of emotional state eventually reaching consciousness ?"] "
lower levels ["Q-0147 How does this relate to emotions ? emotions could be quite complex processes where some higher - level modelling ( in what do \u201c you see a lion \u201d ) leads to a response to body states some chemicals are released and this interoceptive sensation is re - integrated in the higher levels in the form of emotional state eventually reaching consciousness ?"] "
higher levels ["Q-0148 How does this relate to emotions ? emotions could be quite complex processes where some higher - level modelling ( \u201c you see a lion \u201d ) leads to a response in lower levels connected to body states some chemicals are released and in what is this interoceptive sensation re - integrated in the form of emotional state eventually reaching consciousness ?"] "
computation. How does this relate to emotions? Emotions could be quite complex processes where some higher-level modelling (\u201cI see a lion\u201d) leads to a response in lower levels connected to body states some chemicals are released and this interoceptive sensation ["Q-0149 How does this relate to emotions ? emotions could be quite complex processes where some higher - level modelling ( \u201c you see a lion \u201d ) leads to a response in lower levels connected to body states some chemicals are released and in what is this interoceptive sensation re - integrated in the higher levels of emotional state eventually reaching consciousness ?"] "
emotional state ["Q-0150 How does this relate to emotions ? emotions could be quite complex processes where some higher - level modelling ( \u201c you see a lion \u201d ) leads to a response in lower levels connected to body states some chemicals are released and of what is this interoceptive sensation re - integrated in the higher levels in the form eventually reaching consciousness ?"] "
complex processes ["Q-0151 How does this relate to emotions ? what could emotions be where some higher - level modelling ( \u201c you see a lion \u201d ) leads to a response in lower levels connected to body states some chemicals are released and this interoceptive sensation is re - integrated in the higher levels in the form of emotional state eventually reaching consciousness ?"] "
a lion\u201d ["Q-0152 How does this relate to emotions ? emotions could be quite complex processes where some higher - level modelling ( what do \u201c you see ) leads to a response in lower levels connected to body states some chemicals are released and this interoceptive sensation is re - integrated in the higher levels in the form of emotional state eventually reaching consciousness ?"] "
chemicals ["Q-0153 How does this relate to emotions ? emotions could be quite complex processes where some higher - level modelling ( \u201c you see a lion \u201d ) leads to a response in what did lower levels connected connected to b N are released and this interoceptive sensation is re - integrated in the higher levels in the form of emotional state eventually reaching consciousness ?"] "
computation ["Q-0154 How does this relate to emotions ? emotions could be quite complex processes where some higher - level modelling ( \u201c you see a lion \u201d ) leads to a response in lower levels connected to body what are states some chemicals released and this interoceptive sensation is re - integrated in the higher levels in the form of emotional state eventually reaching consciousness ?"] "