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2005 Volume 20
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RESEARCH ARTICLE   Open Access    

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

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  • 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.
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    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. 2005. Retrieval, reuse, revision and retention in case-based reasoning. The Knowledge Engineering Review. 20:646 doi: 10.1017/S0269888906000646
    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. 2005. Retrieval, reuse, revision and retention in case-based reasoning. The Knowledge Engineering Review. 20:646 doi: 10.1017/S0269888906000646
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RESEARCH ARTICLE   Open Access    

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

  • Published online: 08 May 2006
The Knowledge Engineering Review  20,  Article number: 10.1017/S0269888906000646  (2005)  |  Cite this article

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.

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    • 2006 Cambridge University Press
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    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. 2005. Retrieval, reuse, revision and retention in case-based reasoning. The Knowledge Engineering Review. 20:646 doi: 10.1017/S0269888906000646
    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. 2005. Retrieval, reuse, revision and retention in case-based reasoning. The Knowledge Engineering Review. 20:646 doi: 10.1017/S0269888906000646
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