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Retrieval, reuse, revision and retention in case-based reasoning

Published online by Cambridge University Press:  08 May 2006

RAMON LOPEZ DE MANTARAS ,
DAVID MCSHERRY ,
DEREK BRIDGE ,
DAVID LEAKE ,
BARRY SMYTH ,
SUSAN CRAW ,
BOI FALTINGS ,
MARY LOU MAHER ,
MICHAEL T COX  and
KENNETH FORBUS
...Show all authors
RAMON LOPEZ DE MANTARAS
Affiliation:
Artificial Intelligence Research Institute, CSIC, Campus UAB, 08193 Bellaterra, Spain; e-mail: [email protected]
DAVID MCSHERRY
Affiliation:
School of Computing and Information Engineering, University of Ulster, Coleraine BT52 1SA, Northern Ireland, UK; e-mail: [email protected]
DEREK BRIDGE
Affiliation:
Department of Computer Science, University College Cork, Ireland; e-mail: [email protected]
DAVID LEAKE
Affiliation:
Computer Science Department, Indiana University, Lindley Hall 215, 150 S. Woodlawn Avenue, Bloomington, IN 47405, USA; e-mail: [email protected]
BARRY SMYTH
Affiliation:
School of Computer Science and Informatics, University College Dublin, Belfield, Dublin 4, Ireland; e-mail: [email protected]
SUSAN CRAW
Affiliation:
School of Computing, The Robert Gordon University, Aberdeen AB25 1HG, Scotland, UK; e-mail: [email protected]
BOI FALTINGS
Affiliation:
AI-Lab, Swiss Federal Institute of Technology, CH-1015 Lausanne, Switzerland; e-mail: [email protected]
MARY LOU MAHER
Affiliation:
School of Information Technologies, University of Sydney, Australia; e-mail: [email protected]
MICHAEL T COX
Affiliation:
BBN Technologies, Cambridge, MA 02138, USA; e-mail: [email protected]
KENNETH FORBUS
Affiliation:
EECS Department, Northwestern University, Evanston, IL 60208, USA; e-mail: [email protected]
MARK KEANE
Affiliation:
School of Computer Science and Informatics, University College Dublin, Belfield, Dublin 4, Ireland; e-mail: [email protected]
AGNAR AAMODT
Affiliation:
Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim, Norway; e-mail: [email protected]
IAN WATSON
Affiliation:
Department of Computer Science, University of Auckland, Auckland, New Zealand; e-mail: [email protected]
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Abstract

Case-based reasoning (CBR) is an approach to problem solving that emphasizes the role of prior experience during future problem solving (i.e., new problems are solved by reusing and if necessary adapting the solutions to similar problems that were solved in the past). It has enjoyed considerable success in a wide variety of problem solving tasks and domains. Following a brief overview of the traditional problem-solving cycle in CBR, we examine the cognitive science foundations of CBR and its relationship to analogical reasoning. We then review a representative selection of CBR research in the past few decades on aspects of retrieval, reuse, revision and retention.

Type
Research Article
Information
The Knowledge Engineering Review , Volume 20 , Issue 3 , September 2005 , pp. 215 - 240
Copyright
2006 Cambridge University Press

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