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dc.contributor.authorSmyth, Barry
dc.contributor.authorCunningham, Padraig
dc.date.accessioned2007-12-19T12:10:36Z
dc.date.available2007-12-19T12:10:36Z
dc.date.issued1993-09
dc.identifier.citationSmyth, Barry; Cunningham, Padraig. 'Complexity of Adaptation in Real-World Case-Based Reasoning Systems'. - Dublin, Trinity College Dublin, Department of Computer Science, TCD-CS-93-23, 1993, pp13en
dc.identifier.otherTCD-CS-93-23
dc.identifier.urihttp://hdl.handle.net/2262/12938
dc.descriptionAlso in Artificial Intelligence & Congnitive Science VI, Belfast: Queens University Press.en
dc.description.abstractThe essence of Case-Based Reasoning (CBR) as a problem solving paradigm is that solutions are generated by adapting the solutions of similar problems rather than solving the problem from first principles. In this paper we present a categorisation of problem solving tasks, arranged according to complexity. In addition we categorise CBR systems according to the complexity of the adaptation process involved. We describe three CBR systems; a system for property valuation, a system for software design and a system for modelling in engineering analysis. We discuss the manner in which the advantage of a CBR solution to these problems shifts as the task becomes more complex and the complexity of the adaptation process changes.en
dc.format.extent62051 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherTrinity College Dublin, Department of Computer Scienceen
dc.relation.ispartofseriesComputer Science Technical Reporten
dc.relation.ispartofseriesTCD-CS-93-23en
dc.relation.haspartTCD-CS-[no.]en
dc.subjectComputer Scienceen
dc.titleComplexity of Adaptation in Real-World Case-Based Reasoning Systemsen
dc.typeTechnical Reporten
dc.identifier.rssurihttps://www.cs.tcd.ie/publications/tech-reports/reports.93/TCD-CS-93-23.pdf


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