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dc.contributor.advisorAamodt, Agnarnb_NO
dc.contributor.authorStige, Martinnb_NO
dc.date.accessioned2014-12-19T13:34:08Z
dc.date.available2014-12-19T13:34:08Z
dc.date.created2010-09-05nb_NO
dc.date.issued2006nb_NO
dc.identifier348986nb_NO
dc.identifierntnudaim:1529nb_NO
dc.identifier.urihttp://hdl.handle.net/11250/251418
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.nb_NO
dc.languageengnb_NO
dc.publisherInstitutt for datateknikk og informasjonsvitenskapnb_NO
dc.subjectntnudaimno_NO
dc.subjectMIT informatikkno_NO
dc.subjectKunstig intelligens og læringno_NO
dc.titleRepresenting and reasoning with constraints in Creeknb_NO
dc.typeMaster thesisnb_NO
dc.source.pagenumber87nb_NO
dc.contributor.departmentNorges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikk, Institutt for datateknikk og informasjonsvitenskapnb_NO


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