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Application of the Revision Theory to Adaptation in Case-Based Reasoning: The Conservative Adaptation

  • Jean Lieber
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4626)

Abstract

Case-based reasoning aims at solving a problem by the adaptation of the solution of an already solved problem that has been retrieved in a case base. This paper defines an approach to adaptation called conservative adaptation; it consists in keeping as much as possible from the solution to be adapted, while being consistent with the domain knowledge. This idea can be related to the theory of revision: the revision of an old knowledge base by a new one consists in making a minimal change on the former, while being consistent with the latter. This leads to a formalization of conservative adaptation based on a revision operator in propositional logic. Then, this theory of conservative adaptation is confronted to an application of case-based decision support to oncology: a problem of this application is the description of a patient ill with breast cancer, and a solution, the therapeutic recommendation for this patient. Examples of adaptations that have actually been performed by experts and that can be captured by conservative adaptation are presented. These examples show a way of adapting contraindicated treatment recommendations and treatment recommendations that cannot be applied.

Keywords

case-based reasoning knowledge-intensive case-based reasoning adaptation conservative adaptation theory of revision logical representation of cases application to oncology 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Jean Lieber
    • 1
  1. 1.LORIA (UMR 7503 CNRS–INRIA–Nancy Universities), BP 239, 54506 Vandœuvre-lès-NancyFrance

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