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dc.contributor.advisorKofod-Petersen, Andersnb_NO
dc.contributor.authorLillehaug, Marvin Bredalnb_NO
dc.date.accessioned2014-12-19T13:37:54Z
dc.date.available2014-12-19T13:37:54Z
dc.date.created2011-10-17nb_NO
dc.date.issued2011nb_NO
dc.identifier448543nb_NO
dc.identifierntnudaim:6082nb_NO
dc.identifier.urihttp://hdl.handle.net/11250/252656
dc.description.abstractWhen tasks traditionally performed by humans are automated it is important thatthe machines are able to communicate how these tasks are solved and why. Whena user is surprised by the point of time where the task is executed, there is a needto be able to get an explanation to why this point in time was chosen.This project aims at investigating how intelligent systems in general, and case-based reasoning systems in particular can become explanation-aware. Our aim isprimarily to investigate existing case-based reasoning systems to see if explanation-awareness is achievable. Secondary, our aim is to develop a simple case-based rea-soning engine that complies with our theoretical work on explanation-awareness.nb_NO
dc.languageengnb_NO
dc.publisherInstitutt for datateknikk og informasjonsvitenskapnb_NO
dc.subjectntnudaim:6082no_NO
dc.subjectMTDT datateknikkno_NO
dc.subjectIntelligente systemerno_NO
dc.titleExplanation-aware Case-based Reasoningnb_NO
dc.typeMaster thesisnb_NO
dc.source.pagenumber101nb_NO
dc.contributor.departmentNorges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikk, Institutt for datateknikk og informasjonsvitenskapnb_NO


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