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Knowledge Bases and Machine Learning

  • Joe K. Clema
  • Richard Werling
  • Alhad Chande
Conference paper

Abstract

We propose a model using meta-knowledge that provides a capability for developing expert systems that adaptively learn from experience. The model employs a general inference engine mechanism which may be used with any knowledge base that has been structured to interface with the inference mechanism of the engine.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1986

Authors and Affiliations

  • Joe K. Clema
    • 1
  • Richard Werling
    • 1
  • Alhad Chande
    • 1
  1. 1.IITRI TechnionSASC Technologies InternationalUSA

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