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Picture Perfect - Visualisation Techniques for Case-based Reasoning

Barry Smyth, Mark Mullins, Elizabeth McKenna

Case-based reasoning systems solve new problems by retrieving and adapting the solutions to similar previously solved problems. The success and performance of any case-based reasoning system depends critically on its repository of prior problem solving experiences, the cases in its case-base. It is perhaps surprising then that the case-based reasoning community has only recently begun to investigate new ways of intelligently supporting the authoring (and on-going maintenance) of evolving case-bases. In this paper we describe and evaluate a technique for visualising the cases in a case-base. We argue that such techniques have a vital role to play in helping authors to understand the structure of an evolving case-base and so improve the efficiency of the authoring process and the quality of the resulting case-bases.

Keywords: Case-Based Reasoning

Citation: Barry Smyth, Mark Mullins, Elizabeth McKenna: Picture Perfect - Visualisation Techniques for Case-based Reasoning. In W.Horn (ed.): ECAI2000, Proceedings of the 14th European Conference on Artificial Intelligence, IOS Press, Amsterdam, 2000, pp.65-69.

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ECAI-2000 is organised by the European Coordinating Committee for Artificial Intelligence (ECCAI) and hosted by the Humboldt University on behalf of Gesellschaft für Informatik.