أعرض تسجيلة المادة بشكل مبسط

dc.creator Lopez de Mantaras, Ramon
dc.creator McSherry, David
dc.creator Bridge, Derek
dc.creator Leake, David
dc.creator Smyth, Barry
dc.creator Craw, Susan
dc.creator Faltings, Boi
dc.creator Maher, Mary L.
dc.creator Cox, Michael T.
dc.creator Forbus, Kenneth
dc.creator Keane, Mark
dc.creator Aamodt, Agnar
dc.creator Watson, Ian
dc.date 2008-02-20T11:33:54Z
dc.date 2008-02-20T11:33:54Z
dc.date 2006
dc.date.accessioned 2017-01-31T01:00:17Z
dc.date.available 2017-01-31T01:00:17Z
dc.identifier The Knowledge Engineering Review, 2006, 20 (3), 215-240.
dc.identifier 0269-8889
dc.identifier http://hdl.handle.net/10261/3007
dc.identifier 10.1017/S0269888906000646
dc.identifier.uri http://dspace.mediu.edu.my:8181/xmlui/handle/10261/3007
dc.description El original está disponible en www.journals.cambridge.org
dc.description 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.
dc.description Peer reviewed
dc.format 416540 bytes
dc.format application/pdf
dc.language eng
dc.publisher Cambridge University Press
dc.rights openAccess
dc.subject Artificial Intelligence
dc.subject Case-Based Reasoning
dc.title Retrieval, reuse, revision and retention in case-based reasoning
dc.type Artículo


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أعرض تسجيلة المادة بشكل مبسط