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Hybrid case-based reasoning

Published online by Cambridge University Press:  07 July 2009

John Hunt  and
Roger Miles
John Hunt
Affiliation:
Bristol Transputer Centre, University of the West of England, Filton Campus, Bristol, BSI6 IQ Y, UK (Email: jjh, rgm@btc.uwe.ac.uk)
Roger Miles
Affiliation:
Bristol Transputer Centre, University of the West of England, Filton Campus, Bristol, BSI6 IQ Y, UK (Email: jjh, rgm@btc.uwe.ac.uk)
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Abstract

This paper reviews a number of hybrid Case-Based Reasoning (CBR) systems. These systems are hybrid because the CBR components cooperate with one or more “co-reasoners” which employ a different type of reasoning strategy (e.g. qualitative simulation, constraint satisfaction, etc.). In this paper, we propose that CBR is in fact an inherently hybrid process. We review a number of systems and identify three classes of architecture which have been used for hybrid systems. We believe that to successfully exploit a co-reasoner within a CBR system it is necessary to analyse where, when, why and how the information provided by the co-reasoner will be used. We propose the KADS methodology as a suitable way of performing such an analysis and illustrate its use by example. We conclude by considering the control issues associated with the construction of hybrid CBR systems. We review the requirements of such systems and consider how well the two existing cooperation architectures match those requirements.

Information

Type
Research Article
Information
The Knowledge Engineering Review , Volume 9 , Issue 4 , December 1994 , pp. 383 - 397
Copyright
Copyright © Cambridge University Press 1994

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