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What Is Artificial General Intelligence?

What Is Artificial General Intelligence?. Clarifying The Goal For Engineering & Evaluation. Mark R. Waser. Wang’s 5 Definitions of AI. Structure – neurons working in parallel (based on brain architecture) Behavior – acts like a human being (based on human psychology/Turing test)

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What Is Artificial General Intelligence?

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  1. What Is Artificial General Intelligence? Clarifying The Goal For Engineering & Evaluation Mark R. Waser

  2. Wang’s 5 Definitions of AI • Structure – neurons working in parallel (based on brain architecture) • Behavior – acts like a human being (based on human psychology/Turing test) • Capability – has the ability to solve problems (narrow AI) • Function – has cognitive functions similar to that of humans (searching, reasoning, planning, etc.) • Principle – operates according to a simple fundamental rational or optimal principle

  3. Wang’s 5 Definitions (revised) Architectures • Structure – brain architecture • Function – architecture of the mind • Principle – single rational problem solving theory/architecture Emergent Properties • Capability – what it can do • Behavior – what it actually does do

  4. Principle Capability Function Behavior Structure

  5. AIXI Soar NARS Novamente chatbots LIDA Narrow AI Cyc CoSy SAL ACT-R Hawkins/Blue Brain Neural Networks

  6. What do WE WANT? CAPABILITY and BEHAVIOR What it IS (architecture) What it CAN do (capability) What it DOES do (behavior) What isOUR GOALin CREATINGAGI?

  7. Intelligence = problem solving & goal achieving Solve all of humanity’s problems ORIs humanity one of the problems to be solved?

  8. FRIEND SLAVE? TOOL ENTITY What is the difference between an intelligent tool and an entity? ENEMY

  9. What isOUR GOALin CREATINGAGI? To CREATE an ENTITY with the ability and desire to cooperate to solve problems, achieve goals and improve life for everyone

  10. Planning/Problem-Solving Intelligence Language/Representation Cooperation/Ethics Rawls/Hauser Chomsky/Pinker

  11. How do we get there? Autogeny AKA“Seed AI” (Oblinger 2008)

  12. Rationally Anticipated Emergent Properties OR Wishful Thinking/Cargo Cult Engineering

  13. STAYAS CLOSE TOEXISTING EXAMPLESAS POSSIBLE

  14. Cognitive Cycle Encode Perceptual Learning Procedural Learning (Franklin 2007)

  15. Sloman’s architecturefor ahuman-like agent(Sloman 1999)

  16. Baar’s Global Workspace Theory • Most of cognition is implemented by a multitude of small, local, special purpose processes, that are almost always unconscious • Coalitions of these processes compete, whenever necessary, for conscious attention (access to a limited capacity global workspace) • Attention then serves as an INTEGRATION POINT that allows us to deal with novel or challenging situations that cannot be dealt with efficiently, or at all by local, routine, unconscious processes (Also Perlis 2008)

  17. Civilization advances by extending the number of important operationswhich we can perform without thinking about them. -- Alfred North Whitehead

  18. SUMMARY ETHICAL AUTOGENOUS ATTENTIONAL EA3GI – The fastest, safest road to artificial general intelligence

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