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International Conference on Case-Based Reasoning

ICCBR 1995: Case-Based Reasoning Research and Development pp 391–400Cite as

A case-based reasoner adaptive to different cognitive tasks

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1010))

Abstract

Case-based reasoning systems are generally devoted to the realization of a single cognitive task. The need for such systems to perform various cognitive tasks questions how to organize their memory to permit them to be task-adaptive. The case-based reasoning system adaptive to cognitive tasks presented here is capable to adapt to analysis tasks as well as synthesis tasks. Its adaptability comes from its memory composition, both cases and concepts, and from its hierarchical memory organization, based on multiple points of view, some of them associated to the various cognitive tasks it performs. For analytic tasks, the most specific cases are preferably used for the reasoning process. For synthesis tasks, the most specific concepts, learnt by conceptual clustering, are used. An example of this system abilities, in the domain of eating disorders in psychiatry, is briefly presented.

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Author information

Authors and Affiliations

  1. LIAP-5, UFR de Math-Info, Université René Descartes, 45 rue des Saints-Pères, 75270, Paris Cedex 6, France

    Isabelle Bichindaritz

Authors
  1. Isabelle Bichindaritz
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Manuela Veloso Agnar Aamodt

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© 1995 Springer-Verlag Berlin Heidelberg

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Bichindaritz, I. (1995). A case-based reasoner adaptive to different cognitive tasks. In: Veloso, M., Aamodt, A. (eds) Case-Based Reasoning Research and Development. ICCBR 1995. Lecture Notes in Computer Science, vol 1010. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60598-3_35

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  • DOI: https://doi.org/10.1007/3-540-60598-3_35

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60598-0

  • Online ISBN: 978-3-540-48446-2

  • eBook Packages: Springer Book Archive

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