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abstract

Reverse-engineering core common sense with the tools of probabilistic programs, game-style simulation engines, and inductive program synthesis

Published: 26 June 2021 Publication History

Abstract

None of today's AI systems or approaches comes anywhere close to capturing the common sense of a toddler, or even a 3-month old infant. I will talk about some of the challenges facing conventional machine learning paradigms, such as end-to-end unsupervised learning in deep networks and deep reinforcement learning, and discuss some initial, small steps we have taken with an alternative cognitively-inspired AI approach. This requires us to develop a different engineering toolset, based on probabilistic programs, game-style simulation programs as general-purpose startup software (or "the game engine in the head"), and learning as programming (or "the child as hacker").

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  1. Reverse-engineering core common sense with the tools of probabilistic programs, game-style simulation engines, and inductive program synthesis

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      cover image ACM Conferences
      GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference
      June 2021
      1219 pages
      ISBN:9781450383509
      DOI:10.1145/3449639
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      Association for Computing Machinery

      New York, NY, United States

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      Published: 26 June 2021

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      Author Tags

      1. artificial intelligence
      2. inductive program synthesis
      3. probabilistic programs
      4. simulation engines

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