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An underlying memory model to support case retrieval

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Topics in Case-Based Reasoning (EWCBR 1993)

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

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Abstract

The goal of the work described in this paper is to provide a general and underlying model of memory to support the process of Case-Based Reasoning (CBR). The approach taken is to build a range of biasing constraint into the structure of memory itself and to use a suitably designed activation passing process to exploit this information as a guide for the retrieval of appropriate source cases. This provides the potential for highly flexible case retrieval without the need for exhaustive search of memory. This claim is supported by initial experimentation using a prototype implementation of the memory model.

This work was supported by the Scientific and Engineering Research Council.

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Authors and Affiliations

  1. Dept. of Computer Science, The University of Manchester, UK

    Mike G. Brown

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  1. Mike G. Brown
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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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Brown, M.G. (1994). An underlying memory model to support case retrieval. 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_82

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  • DOI: https://doi.org/10.1007/3-540-58330-0_82

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-58330-1

  • Online ISBN: 978-3-540-48655-8

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