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

Authors:
Ramon Lopez De Mantaras;David McSherry;Derek Bridge;David Leake;Barry Smyth;Susan Craw;Boi Faltings;Mary Lou Maher;Michael T. Cox;Kenneth Forbus;Mark Keane;Agnar Aamodt;Ian Watson
Affiliations:
Artificial Intelligence Research Institute, CSIC, Campus UAB, 08193 Bellaterra, Spain/ e-mail: mantaras&commat/iiia.csic.es;School of Computing and Information Engineering, University of Ulster, Coleraine BT52 1SA, Northern Ireland, UK/ e-mail: dmg.mcsherry&commat/ulster.ac.uk;Department of Computer Science, University College Cork, Ireland/ e-mail: d.bridge&commat/cs.ucc.ie;Computer Science Department, Indiana University, Lindley Hall 215, 150 S. Woodlawn Avenue, Bloomington, IN 47405, USA/ e-mail: leake&commat/cs.indiana.edu;School of Computer Science and Informatics, University College Dublin, Belfield, Dublin 4, Ireland/ e-mail: Barry.Smyth&commat/ucd.ie;School of Computing, The Robert Gordon University, Aberdeen AB25 1HG, Scotland, UK/ e-mail: S.Craw&commat/comp.rgu.ac.uk;AI-Lab, Swiss Federal Institute of Technology, CH-1015 Lausanne, Switzerland/ e-mail: Boi.Faltings&commat/epfl.ch;School of Information Technologies, University of Sydney, Australia/ e-mail: marym&commat/it.usyd.edu.au;BBN Technologies, Cambridge, MA 02138, USA/ e-mail: mcox&commat/bbn.com;EECS Department, Northwestern University, Evanston, IL 60208, USA/ e-mail: forbus&commat/northwestern.edu;School of Computer Science and Informatics, University College Dublin, Belfield, Dublin 4, Ireland/ e-mail: mark.keane&commat/ucd.ie;Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim, Norway/ e-mail: agnar.aamodt&commat/idi.ntnu.no;Department of Computer Science, University of Auckland, Auckland, New Zealand/ e-mail: ian&commat/cs.auckland.ac.nz
Venue:
The Knowledge Engineering Review
Year:
2005

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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.