Retrieval, reuse, revise and retention in CBR

Ramon L. 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

    Research output: Contribution to journalArticlepeer-review

    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.
    Original languageEnglish
    Pages (from-to)215-240
    Number of pages26
    JournalKnowledge Engineering Review
    Volume20
    Issue number3
    DOIs
    Publication statusPublished - 2006

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