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A parallel expert system using a backward chaining strategy

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Book cover Parallel Processing: CONPAR 92—VAPP V (VAPP 1992, CONPAR 1992)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 634))

Abstract

In this paper a parallel backward chaining technique is applied to a rule-based expert system on a shared memory multiprocessor system. The results indicate satisfactory speed-up performance for a small number of processors (<10) and a reasonably large number of rules.

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Author information

Authors and Affiliations

  1. Parallel Algorithms Research Centre, Loughborough University of Technology, Loughborough, Leicestershire, UK

    K. R. Tout & D. J. Evans

  2. Brainware GmbH, Berlin, Germany

    K. R. Tout

Authors
  1. K. R. Tout
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  2. D. J. Evans
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Editor information

Luc Bougé Michel Cosnard Yves Robert Denis Trystram

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© 1992 Springer-Verlag Berlin Heidelberg

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Tout, K.R., Evans, D.J. (1992). A parallel expert system using a backward chaining strategy. In: Bougé, L., Cosnard, M., Robert, Y., Trystram, D. (eds) Parallel Processing: CONPAR 92—VAPP V. VAPP CONPAR 1992 1992. Lecture Notes in Computer Science, vol 634. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-55895-0_473

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  • DOI: https://doi.org/10.1007/3-540-55895-0_473

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-55895-8

  • Online ISBN: 978-3-540-47306-0

  • eBook Packages: Springer Book Archive

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