dc.contributor.author | Smyth, Barry | |
dc.contributor.author | Cunningham, Padraig | |
dc.date.accessioned | 2007-12-19T12:10:36Z | |
dc.date.available | 2007-12-19T12:10:36Z | |
dc.date.issued | 1993-09 | |
dc.identifier.citation | Smyth, 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, pp13 | en |
dc.identifier.other | TCD-CS-93-23 | |
dc.description | Also in Artificial Intelligence & Congnitive Science VI, Belfast: Queens University Press. | en |
dc.description.abstract | The 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.extent | 62051 bytes | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | en |
dc.publisher | Trinity College Dublin, Department of Computer Science | en |
dc.relation.ispartofseries | Computer Science Technical Report | en |
dc.relation.ispartofseries | TCD-CS-93-23 | en |
dc.relation.haspart | TCD-CS-[no.] | en |
dc.subject | Computer Science | en |
dc.title | Complexity of Adaptation in Real-World Case-Based Reasoning Systems | en |
dc.type | Technical Report | en |
dc.identifier.rssuri | https://www.cs.tcd.ie/publications/tech-reports/reports.93/TCD-CS-93-23.pdf | |
dc.identifier.uri | http://hdl.handle.net/2262/12938 | |