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European Workshop on Case-Based Reasoning

EWCBR 1993: Topics in Case-Based Reasoning pp 21–32Cite as

Analogical asides on case-based reasoning

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 837))

Abstract

This paper explores some of the similarities and differences between cognitive models of analogy and case-based reasoning systems. I first point out a paradox in the treatment of adaptation in analogy and in case-based reasoning; a paradox which can be only resolved by expanding the role of adaptation in cognitive models of analogy. Some psychological research on the process of adaptation in human subjects is reported and then the implications of this research are propagated into analogy and then on into CBR. The argument is that some of the existing stages in CBR should be integrated into a more stream-lined architecture that would be more efficient than current schemes.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Trinity College Dublin, Dublin 2, Ireland

    Mark T. Keane

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  1. Mark T. Keane
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Editor information

Stefan Wess Klaus-Dieter Althoff Michael M. Richter

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© 1994 Springer-Verlag Berlin Heidelberg

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Keane, M.T. (1994). Analogical asides on case-based reasoning. In: Wess, S., Althoff, KD., Richter, M.M. (eds) Topics in Case-Based Reasoning. EWCBR 1993. Lecture Notes in Computer Science, vol 837. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-58330-0_74

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  • DOI: https://doi.org/10.1007/3-540-58330-0_74

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-58330-1

  • Online ISBN: 978-3-540-48655-8

  • eBook Packages: Springer Book Archive

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