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dc.contributor.advisorAamodt, Agnar
dc.contributor.authorStige, Martin
dc.date.accessioned2018-11-05T15:01:09Z
dc.date.available2018-11-05T15:01:09Z
dc.date.created2006-06-01
dc.date.issued2006
dc.identifierntnudaim:1529
dc.identifier.urihttp://hdl.handle.net/11250/2571092
dc.description.abstractThis work studies constraint mechanisms in frame-based knowledge representation systems with the aim of improving the knowledge modelling abilities of the TrollCreek system. TrollCreek is an implementation of Creek, an architecture for case based reasoning (CBR) that uses an explicit frame-based knowledge model to guide the CBR process. The objective of this project is to develop a constraint mechanism for TrollCreek. In doing this the earlier Lisp implementation of Creek and four other frame-based systems are examined with emphasize on their constraint mechanisms. Based on these systems a constraint mechanism for TrollCreek is discussed and specified. The part of the mechanism considered most central is implemented and evaluated.
dc.languageeng
dc.publisherNTNU
dc.subjectInformatikk, Kunstig intelligens og læring
dc.titleRepresenting and reasoning with constraints in Creek
dc.typeMaster thesis


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