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Motivation: Definition of Learning in AI

  • Research on learning in AI is made up of diverse subfields (cf. [5])

    • “Learning as adaptation”: Adaptive systems monitor their own performance and attempt to improve it by adjusting internal parameters, e.g.,
      • Self-improving programs for playing games
      • Pole balancing
      • Problem solving methods

    • “Learning as the acquisition of structured knowledge” in the form of
      • Concepts
      • Production rules
      • Discrimination nets

Speaker notes:

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