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What is AI All About?

What is AI All About?. What is AI All About?. What is AI All About?. Artificial General Intelligence. Narrow AI Each program carries out specific tasks that humans consider intelligent Limited capability for adaptation to novel contexts. AGI

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What is AI All About?

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  1. What is AI All About?

  2. What is AI All About?

  3. What is AI All About?

  4. Artificial General Intelligence Narrow AI • Each program carries out specific tasks that humans consider intelligent • Limited capability for adaptation to novel contexts AGI • A single program capable of intelligent behaviors with a variety roughly equal to, or greater than, the variety a typical human demonstrates • Ability to generalize its knowledge so as to adapt to novel contexts

  5. The Time is Ripe for AGI

  6. Multiple Approaches to AGI

  7. What is AGI? • g-factor from human psychology? • Ability to achieve complex goals in complex environments? • Legg and Hutter’s formal definition? • Ability to adapt to the environment using limited resources? • Ability to achieve goals in environments, assessed by weighting (goal, environment) pairs according to some distribution that is neither too broad nor too narrow?

  8. Embodied, Social AGI • Ability to achieve goals in environments, assessed by weighting each (goal, environment) pair according to the ease with which an embodied social agent could communicate it to its peers, using a combination of methods such as • Language • Dramatic depiction • Imitation • Indication

  9. Will a Deep, Rigorous, General AGI Theory Ever Exist? • Can there be a general theory of AGI? • A general theory of computationally feasible AGI? • A general theory of computationally feasible, embodied, social AGI?

  10. Possible General Principles of AGI • Occam’s Razor • Cognitive Synergy • ??

  11. What is the “end goal” of AGI R&D? • Turing test? • Artificial, superhuman scientist/engineer? • Putting us all out of work? • Maybe there isn’t one!

  12. Challenges in Moving the Field Ahead • Temptations of Narrow AI research • Absence of a general theory of feasible, relevant general intelligence • Difficulty of measuring incremental progress • Lack of easily usable, common environments/tasks for comparing different approaches • Lack of a collectively agreed-upon “AGI Roadmap” • Paucity of appropriate publication venues • Difficulty of comparing detailed approaches, sharing insights • Public fear of AGI, spurred in part by dystopian fiction • Lack of money!

  13. AGI-09 • Keynote: Juergen Schmidhuber • Presentations + themed discussions: • Evaluation/metrics • Robotics/embodiment • Cognitive architectures • Learning • Reasoning • Language • Self-awareness • Expert elicitation • Sat night: demo/poster session • Sun: lunch biz meeting • Sun: optional conf dinner at Jaleo • Monday: Future of AI workshop • Kurzweil Best Paper Prize

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