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Generalising Ripple-Down Rules

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Knowledge Engineering and Knowledge Management Methods, Models, and Tools (EKAW 2000)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1937))

Abstract

Ripple-Down Rules (RDR) has the goal of simple, incremental development of a knowledge-based system (KBS) while the KBS is already in use, so that over time an expert can evolve a sophisticated KBS as a minor extension of their normal duties. RDR has had considerable success in developing classification KBS. It has been extended to configuration, heuristic search and other tasks. This paper proposes a generalisation of RDR that may enable experts to evolve KBS for a range of tasks.

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References

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Author information

Authors and Affiliations

  1. School of Computer Science and Engineering, University of New South Wales, 2052, UNSW Sydney, Australia

    Paul Compton

  2. Department of Computing, Division of Information and Communication Sciences, Macquarie University, Sydney, Australia

    Debbie Richards

Authors
  1. Paul Compton
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  2. Debbie Richards
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Editor information

Editors and Affiliations

  1. INRIA, 2004 route des Lucioles, BP 93, 06902, Sophia Antipolis Cedex, France

    Rose Dieng  & Olivier Corby  & 

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© 2000 Springer-Verlag Berlin Heidelberg

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Compton, P., Richards, D. (2000). Generalising Ripple-Down Rules. In: Dieng, R., Corby, O. (eds) Knowledge Engineering and Knowledge Management Methods, Models, and Tools. EKAW 2000. Lecture Notes in Computer Science(), vol 1937. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-39967-4_29

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  • DOI: https://doi.org/10.1007/3-540-39967-4_29

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41119-2

  • Online ISBN: 978-3-540-39967-4

  • eBook Packages: Springer Book Archive

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