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dc.creatorLopez de Mantaras, Ramon-
dc.creatorPerner, Petra-
dc.creatorCunninghan, Padraig-
dc.date2008-02-18T13:37:03Z-
dc.date2008-02-18T13:37:03Z-
dc.date2006-
dc.date.accessioned2017-01-31T01:00:10Z-
dc.date.available2017-01-31T01:00:10Z-
dc.identifierThe Knowledge Engineering Review, 2006, 20 (3), 325-328.-
dc.identifier0269-8889-
dc.identifierhttp://hdl.handle.net/10261/2963-
dc.identifier10.1017/S0269888906000658-
dc.identifier.urihttp://dspace.mediu.edu.my:8181/xmlui/handle/10261/2963-
dc.descriptionThe 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.descriptionPeer reviewed-
dc.format79772 bytes-
dc.formatapplication/pdf-
dc.languageeng-
dc.publisherCambridge University Press-
dc.rightsopenAccess-
dc.subjectArtificial Intelligence-
dc.subjectCase-Based Reasoning-
dc.titleEmergent Case-Based Reasoning Applications-
dc.typeArtículo-
Appears in Collections:Digital Csic

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