Implementing Selves with Safe Motivational Systems & Self-Improvement
Artificial Intelligence (AI) and Artificial General Intelligence (AGI) most often focus on tools for collecting knowledge and solving problems or achieving goals rather than self-reflecting entities. Instead, this implementation-oriented symposium will focus on guided self-creation and improvement – particularly as a method of achieving human-level intelligence in machines through iterative improvement (“seed AI”).
In I Am a Strange Loop, Douglas Hofstadter argues that the key to understanding selves is the “strange loop”, a complex feedback network inhabiting our brains and, arguably, constituting our minds. Further, humans have both conscious and unconscious minds (Daniel Kahneman’s system one and system two), attention, emotions, partial self-reflection, a moral sense and many other aspects that are rarely addressed – yet seem critical for the creation of a safe self-sufficient autonomous system.
This symposium will focus on the integration of these components into a coherent self-improving self. Ideally, the ultimate end product will be a successful entity with extensive self-knowledge and a safe or moral/ethical motivational system that functions with context/ecologically sensitive egoistic/altruistic discrimination to promote cooperation with and contribution to community via iterative improvement of self, tools and theoretical constructs of relational dynamics and resource utilization, allocation and sharing.
This symposium is proposed as an implementation-oriented exploration of self, to include:
integrative architectures with explicit motivations
implementing “self” as operating system with “plug-ins”
implementing “self” as society (of mind—Marvin Minsky)
implementing “self” as economy (of idiots – Eric Baum)
implementing “self” as global workspace/consciousness (Baars/Franklin)
implementing “self” as authorship (Dennett, Wegner)
“safe” and/or “moral” and ethical motivational systems
value sets vs. goal hierarchies
context/ecological sensitivity
“safe”/moral values/goal content
evaluation schemes
reflection
self-examination
self-modeling & self-knowledge
goal-based self-evaluation for self-improvement
attention & emotions
as interoceptive responses to environmental stimuli
as knowledge/rules of thumb/”actionable qualia”
as helpful & unhelpful biases (and how to intelligently improve)
as evaluation & enforcement mechanisms
integrating different knowledge and action representation schemes
coordination & translation between various schemes
analyzing trade-offs & knowing when to switch between schemes
self-improvement
via automated tool/method incorporation & theory-inductive heuristics
goal-based tool/method discovery
tool/method integration and evaluation
tool-to-theory heuristics
via learning (knowledge incorporation)
(re-)building schemes and models
discovery (refactoring, modularization, encapsulation and scale-invariance)
theory-to-tool heuristics
automated (re-)construction of probabilistic graphical models
While solutions need to be grounded and extensible, the symposium would prefer approaches starting with some initial structure rather than a tabula rasa with the lowest level bootstrapping approaches or first causes explanations (except where they are fully extended to initial structures and/or used to justify such structures). Also, while autopoiesis and “functional consciousness” are obviously key topics, we would prefer that phenomenal consciousness arguments be considered off-topic.
Submissions
Those interested in participating should submit either full-length papers (up to 6 pages in AAAI format) or short papers/extended abstracts (2-3 pages) to https://www.easychair.org/conferences/?conf=ss14self. Submissions are due October 4.
Additional Information
Additional conference information is available at the AAAI Spring 2014 Symposium page. More details will be posted here as they become available. Questions can be emailed to Mark Waser (MWaser@DigitalWisdomInstitute.org).
AAAI 2014 Spring Symposia
Probably of interest to researchers on this list (October 4 deadline):
AAAI Spring 2014 Symposium—March 24-26, 2014 / Stanford University, Palo Alto, California, USA
Implementing Selves with Safe Motivational Systems & Self-Improvement
Artificial Intelligence (AI) and Artificial General Intelligence (AGI) most often focus on tools for collecting knowledge and solving problems or achieving goals rather than self-reflecting entities. Instead, this implementation-oriented symposium will focus on guided self-creation and improvement – particularly as a method of achieving human-level intelligence in machines through iterative improvement (“seed AI”).
In I Am a Strange Loop, Douglas Hofstadter argues that the key to understanding selves is the “strange loop”, a complex feedback network inhabiting our brains and, arguably, constituting our minds. Further, humans have both conscious and unconscious minds (Daniel Kahneman’s system one and system two), attention, emotions, partial self-reflection, a moral sense and many other aspects that are rarely addressed – yet seem critical for the creation of a safe self-sufficient autonomous system.
This symposium will focus on the integration of these components into a coherent self-improving self. Ideally, the ultimate end product will be a successful entity with extensive self-knowledge and a safe or moral/ethical motivational system that functions with context/ecologically sensitive egoistic/altruistic discrimination to promote cooperation with and contribution to community via iterative improvement of self, tools and theoretical constructs of relational dynamics and resource utilization, allocation and sharing.
This symposium is proposed as an implementation-oriented exploration of self, to include:
integrative architectures with explicit motivations
implementing “self” as operating system with “plug-ins”
implementing “self” as society (of mind—Marvin Minsky)
implementing “self” as economy (of idiots – Eric Baum)
implementing “self” as global workspace/consciousness (Baars/Franklin)
implementing “self” as authorship (Dennett, Wegner)
“safe” and/or “moral” and ethical motivational systems
value sets vs. goal hierarchies
context/ecological sensitivity
“safe”/moral values/goal content
evaluation schemes
reflection
self-examination
self-modeling & self-knowledge
goal-based self-evaluation for self-improvement
attention & emotions
as interoceptive responses to environmental stimuli
as knowledge/rules of thumb/”actionable qualia”
as helpful & unhelpful biases (and how to intelligently improve)
as evaluation & enforcement mechanisms
integrating different knowledge and action representation schemes
coordination & translation between various schemes
analyzing trade-offs & knowing when to switch between schemes
self-improvement
via automated tool/method incorporation & theory-inductive heuristics
goal-based tool/method discovery
tool/method integration and evaluation
tool-to-theory heuristics
via learning (knowledge incorporation)
(re-)building schemes and models
discovery (refactoring, modularization, encapsulation and scale-invariance)
theory-to-tool heuristics
automated (re-)construction of probabilistic graphical models
Meta-Optimizing Semantic Evolutionary Search (MOSES)
Frequent & Interesting Sub-HyperGRAph Mining (FISHGRAM)
While solutions need to be grounded and extensible, the symposium would prefer approaches starting with some initial structure rather than a tabula rasa with the lowest level bootstrapping approaches or first causes explanations (except where they are fully extended to initial structures and/or used to justify such structures). Also, while autopoiesis and “functional consciousness” are obviously key topics, we would prefer that phenomenal consciousness arguments be considered off-topic.
Submissions
Those interested in participating should submit either full-length papers (up to 6 pages in AAAI format) or short papers/extended abstracts (2-3 pages) to https://www.easychair.org/conferences/?conf=ss14self. Submissions are due October 4.
Additional Information
Additional conference information is available at the AAAI Spring 2014 Symposium page. More details will be posted here as they become available. Questions can be emailed to Mark Waser (MWaser@DigitalWisdomInstitute.org).