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Opportunistic Adaptation Knowledge Discovery

  • Fadi Badra
  • Amélie Cordier
  • Jean Lieber
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5650)

Abstract

Adaptation has long been considered as the Achilles’ heel of case-based reasoning since it requires some domain-specific knowledge that is difficult to acquire. In this paper, two strategies are combined in order to reduce the knowledge engineering cost induced by the adaptation knowledge (AK) acquisition task: AK is learned from the case base by the means of knowledge discovery techniques, and the AK acquisition sessions are opportunistically triggered, i.e., at problem-solving time.

Keywords

Propositional Variable Support Threshold Adaptation Rule Source Case Green Onion 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Fadi Badra
    • 1
  • Amélie Cordier
    • 2
  • Jean Lieber
    • 1
  1. 1.LORIA (CNRS, INRIA, Nancy Universities), BP 239Vandœuvre-lès-NancyFrance
  2. 2.LIRIS CNRS UMR 5202Université Lyon 1, INSA Lyon, Université Lyon 2, ECLVilleurbanneFrance

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