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Emergent Case-Based Reasoning Applications

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dc.creator Lopez de Mantaras, Ramon
dc.creator Perner, Petra
dc.creator Cunninghan, Padraig
dc.date 2008-02-18T13:37:03Z
dc.date 2008-02-18T13:37:03Z
dc.date 2006
dc.date.accessioned 2017-01-31T01:00:10Z
dc.date.available 2017-01-31T01:00:10Z
dc.identifier The Knowledge Engineering Review, 2006, 20 (3), 325-328.
dc.identifier 0269-8889
dc.identifier http://hdl.handle.net/10261/2963
dc.identifier 10.1017/S0269888906000658
dc.identifier.uri http://dspace.mediu.edu.my:8181/xmlui/handle/10261/2963
dc.description The basic principle underpinning case-based reasoning (CBR) is that new problems can be solved by reusing solutions to past problems. The generality of this idea means that CBR is finding application in a wide variety of areas. The special advantage of CBR is that a case can be a very convenient means of capturing knowledge, especially in weak theory domains where the relationship between causes and effects may not be well understood. Cases may embody more than problem-solving knowledge; the knowledge in a case may be a creative structure or a complex behavior pattern. The widespread applicability of this idea means that it has been exploited in a diverse range of areas across the arts and sciences. This article provides a brief summary of some of these applications.
dc.description Peer reviewed
dc.format 79772 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 Emergent Case-Based Reasoning Applications
dc.type Artículo


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