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Emergent case-based reasoning applications

Published online by Cambridge University Press:  08 May 2006

RAMON LOPEZ DE MANTARAS ,
PADRAIG CUNNINGHAM  and
PETRA PERNER
RAMON LOPEZ DE MANTARAS
Affiliation:
Artificial Intelligence Research Institute, CSIC, Campus UAB, 08193 Bellaterra, Spain; e-mail: [email protected]
PADRAIG CUNNINGHAM
Affiliation:
AI Group, Department of Computer Science, Trinity College, Dublin 2, Ireland; e-mail: [email protected]
PETRA PERNER
Affiliation:
Institute of Computer Vision and Applied Computer Sciences, Körnerstrasse 10, 04107 Leipzig, Germany; e-mail: [email protected]
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Abstract

The basic principle underpinning case-based reasoning (CBR) is that new problems can be solved by reusing solutions to past problems. The generality of this idea means that CBR is finding application in a wide variety of areas. The special advantage of CBR is that a case can be a very convenient means of capturing knowledge, especially in weak theory domains where the relationship between causes and effects may not be well understood. Cases may embody more than problem-solving knowledge; the knowledge in a case may be a creative structure or a complex behavior pattern. The widespread applicability of this idea means that it has been exploited in a diverse range of areas across the arts and sciences. This article provides a brief summary of some of these applications.

Type
Research Article
Information
The Knowledge Engineering Review , Volume 20 , Issue 3 , September 2005 , pp. 325 - 328
Copyright
2006 Cambridge University Press

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