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Autocatalytic Endogenous Reflective Architecture Kristinn R. - PowerPoint PPT Presentation

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Autocatalytic Endogenous Reflective Architecture Kristinn R. Thrisson Associate Professor, School of Computer Science, Reykjavik University Member, Center for Analysis and Design of Intelligent Agents, Reykjavik U. Managing Director,

  1. Autocatalytic Endogenous Reflective Architecture Kristinn R. Thórisson Associate Professor, School of Computer Science, Reykjavik University Member, Center for Analysis and Design of Intelligent Agents, Reykjavik U. Managing Director, Icelandic Institute for Intelligent Machines, Reykjavik, Iceland www.ru.is Advanced Topics in Artificial Intelligence | Reykjavik University | April 2016

  2. AGI Systems should be able to: - learn to be able to perform a host of unanticipated vastly different tasks - adapt to vastly new circumstances - actively acquire new knowledge for the above, as needed, of their own accord 2

  3. These Systems should be able to: - learn to be able to perform a host of unanticipated vastly different tasks - adapt to vastly new circumstances - actively acquire new knowledge for the above, as needed, of their own accord 3

  4. These Systems should be able to: - learn to be able to perform a host of unanticipated vastly different tasks - adapt to vastly new circumstances - actively acquire new knowledge for the above, as needed, of their own accord 4

  5. These Systems should be able to: - learn to be able to perform a host of unanticipated vastly different tasks - adapt to vastly new circumstances - actively acquire new knowledge for the above, as needed, of their own accord 5

  6. These Systems should be able to: - learn to be able to perform a host of unanticipated vastly different tasks - adapt to vastly new circumstances - actively acquire new knowledge for the above, as needed, of their own accord 6

  7. These Systems should be able to: - learn to be able to perform a host of unanticipated vastly different tasks - adapt to vastly new circumstances - actively acquire new knowledge for the above, as needed, of their own accord 7

  8. What AGIs Need: • Powerful adaptation mechanisms • require: Cognitive growth capabilities • which calls for: Self-inspection capabilities • which requires: a semantically and operationally closed programming language www.ru.is Advanced Topics in Artificial Intelligence | Reykjavik University | April 2016

  9. Self-Programming: The Key to Cognitive Growth • If a system could inspect its own operation, it could possibly use experience to find better ways to operate • i.e. improve its own operation in light of acquired experience • But this would mean: architecture and algorithms must be manipulatable by the system itself • This calls for reflection : the ability of the system to self-inspect www.ru.is Advanced Topics in Artificial Intelligence | Reykjavik University | April 2016

  10. Why is Self-Programming Needed? • Cogni&ve growth = most powerful path to achieve adapta&on • Self-programming: a way to achieve cogni&ve growth, and hence autonomy • Reduces or eliminates human control and interven&on • Less opera&onal cost • Highly autonomous systems more reusable • Building learning, flexible, self-adap&ve systems that can operate without complete pre-specifica&on of tasks • Adapta&on must be “allways on” in AGIs www.ru.is Advanced Topics in Artificial Intelligence | Reykjavik University | April 2016

  11. What Programming Language? • All present programming languages designed to be used by human-level intelligences → Current programming paradigms cannot support cognitive development in artificial systems www.ru.is Advanced Topics in Artificial Intelligence | Reykjavik University | April 2016

  12. Autocatalytic Endogeneous Reflective Architecture Autocatalytic Operation exclusively event-driven Attention (resource control), learning, and planning catalyze each other Operation is model-based: chains of models invoking models control the events in the system www.ru.is Advanced Topics in Artificial Intelligence | Reykjavik University | April 2016

  13. Autocatalytic Endogeneous Reflective Architecture Endogenous All knowledge generated from a tiny seed All sub-goals auto-generated from top-level goal (provided in seed) All knowledge acquisition driven endogenously (but does not preclude exogeneous knowledge provision) www.ru.is Advanced Topics in Artificial Intelligence | Reykjavik University | April 2016

  14. Autocatalytic Endogeneous Reflective Architecture Reflective Explicit traces of system operation allows building models of it The system’s code is parsable and readable by the system due to special programming language (Replicode) Models of self-operation enables self- control (aka meta-control). www.ru.is Advanced Topics in Artificial Intelligence | Reykjavik University | April 2016

  15. Methodology 15

  16. Constructivist Methodology Con - struct - ivist A.I. : Self-constructive artificial intelligence systems with general knowledge acquisition skills; systems develop from a seed specification; capable of learning to perceive and act in a wide range of novel tasks, situations, and domains 16

  17. HUMANOBS Project • AERA : Broad-scope AGI-aspiring architecture • general-purpose learning in dynamic worlds domain independence • Demonstrating transversal cognitive skills • at multiple levels of granularity and abstraction • system-wide learning • temporal grounding • observation and imitation of complex realtime events • attention • inference, abstraction ... and more www.ru.is Advanced Topics in Artificial Intelligence | Reykjavik University | April 2016

  18. A New Kind of A.I. Acquires knowledge autonomously starting with observation honed through abduction and induction Self-modeling inherent in system operation Continuous learning Domain-independent learning www.ru.is Advanced Topics in Artificial Intelligence | Reykjavik University | April 2016

  19. (Operating System)

  20. Programming Language (Operating System)

  21. Replicode Programming Language (Operating System)

  22. Self-Reflection + Self-Organization Replicode Programming Language (Operating System)

  23. Reasoning & Logic Self-Reflection + Self-Organization Replicode Programming Language (Operating System)

  24. ampliative Reasoning & Logic Self-Reflection + Self-Organization Replicode Programming Language (Operating System)

  25. Abduction + Induction + Deduction ampliative Reasoning & Logic Self-Reflection + Self-Organization Replicode Programming Language (Operating System)

  26. Programming Paradigm Abduction + Induction + Deduction ampliative Reasoning & Logic Self-Reflection + Self-Organization Replicode Programming Language (Operating System)

  27. reflective Programming Paradigm Abduction + Induction + Deduction ampliative Reasoning & Logic Self-Reflection + Self-Organization Replicode Programming Language (Operating System)

  28. Seed-Based Coding reflective Programming Paradigm Abduction + Induction + Deduction ampliative Reasoning & Logic Self-Reflection + Self-Organization Replicode Programming Language (Operating System)

  29. Cognitive Architecture Seed-Based Coding reflective Programming Paradigm Abduction + Induction + Deduction ampliative Reasoning & Logic Self-Reflection + Self-Organization Replicode Programming Language (Operating System)

  30. AERA Cognitive Architecture Seed-Based Coding reflective Programming Paradigm Abduction + Induction + Deduction ampliative Reasoning & Logic Self-Reflection + Self-Organization Replicode Programming Language (Operating System)

  31. Auto-catalytic, Endogenous, Reflective Architecture AERA Cognitive Architecture Seed-Based Coding reflective Programming Paradigm Abduction + Induction + Deduction ampliative Reasoning & Logic Self-Reflection + Self-Organization Replicode Programming Language (Operating System)

  32. Methodology Auto-catalytic, Endogenous, Reflective Architecture AERA Cognitive Architecture Seed-Based Coding reflective Programming Paradigm Abduction + Induction + Deduction ampliative Reasoning & Logic Self-Reflection + Self-Organization Replicode Programming Language (Operating System)

  33. constructivist AI Methodology Auto-catalytic, Endogenous, Reflective Architecture AERA Cognitive Architecture Seed-Based Coding reflective Programming Paradigm Abduction + Induction + Deduction ampliative Reasoning & Logic Self-Reflection + Self-Organization Replicode Programming Language (Operating System)

  34. Inspired by Piaget’s theory of cognitive development constructivist AI Methodology Auto-catalytic, Endogenous, Reflective Architecture AERA Cognitive Architecture Seed-Based Coding reflective Programming Paradigm Abduction + Induction + Deduction ampliative Reasoning & Logic Self-Reflection + Self-Organization Replicode Programming Language (Operating System)

  35. AERA www.ru.is Advanced Topics in Artificial Intelligence | Reykjavik University | April 2016

  36. AERA www.ru.is Advanced Topics in Artificial Intelligence | Reykjavik University | April 2016

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