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Restructuring rule bases to improve performance

  • Alex Lopez-Suarez
  • M. Kamel
Communications Learning and Adaptive Systems
Part of the Lecture Notes in Computer Science book series (LNCS, volume 869)

Abstract

This paper presents a new methodology to restructure rule bases through the combination of Explanation-Based Learning (EBL) and knowledge abstraction techniques. Performance improvements resulting from restructuring are assessed in terms of pattern matching activity during problem solving. The introduction of redundancy that results as a side effect of the restructuring techniques is discussed and algorithms are presented to control it. Examples and experimental results using typical problems are presented.

Keywords

Adaptive Systems Learning, Knowledge restructuring Inferential reasoning 

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Copyright information

© Springer-Verlag Berlin Heidelberg 1994

Authors and Affiliations

  • Alex Lopez-Suarez
    • 1
  • M. Kamel
    • 1
  1. 1.Pattern Analysis and Machine Intelligence (PAMI) Lab Department of Systems Design EngineeringUniversity of WaterlooWaterlooCanada

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