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January 1, 1957Open Access

Programming the logic theory machine

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Authors

ANAllen NewellUniversity of Southern CaliforniaJSJames ShawRAND Corporation

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Implication

Computational analysis demonstrates automated theorem proving in symbolic logic through heuristic search, highlighting how early artificial intelligence systems mimic human problem-solving.

Key Points

  • To describe the programming and computational framework of the Logic Theory Machine for discovering proofs in symbolic logic.
  • Designed symbol-manipulation mechanisms that simulate human problem-solving workflows for symbolic logic theorem proving.
  • Implemented heuristic search strategies that test multiple methods and adapt operational processes using prior search experience.
  • Constructed a functional automated reasoning program capable of discovering formal proofs for symbolic logic theorems.
  • Demonstrated that heuristic search and experience-based process modification successfully guide proof discovery in complex logical domains.

Cite This Study

Newell et al. (1957) studied this question.

synapsesocial.com/papers/6a0ff0db12e2385ed3fe1b64https://doi.org/10.1145/1455567.1455606
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