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dc.contributor.author Price, Chris
dc.contributor.author Snooke, Neal
dc.contributor.author Lewis, Stuart
dc.date.accessioned 2006-03-17T09:46:28Z
dc.date.available 2006-03-17T09:46:28Z
dc.date.issued 2006-03-17
dc.identifier.citation Price , C , Snooke , N & Lewis , S 2006 , ' Adaptable Modelling of Electrical Systems ' pp. 147-153 . en
dc.identifier.other PURE: 75011
dc.identifier.other dspace: 2160/40
dc.identifier.uri http://hdl.handle.net/2160/40
dc.description C.J.Price, N.A.Snooke, S.D.Lewis Adaptable Modelling of Electrical Systems, QR2003 - 17th International Workshop on Qualitative Reasoning. pp.147-153, eds Paulo Salles and Bert Bredeweg, Brasilia, Brazil, 20-22 August 2003. en
dc.description.abstract Much research in model-based reasoning has concentrated on the use of a single, usually qualitative, level of modeling. This is less than ideal for many engineering applications, where the amount of knowledge available about a product design increases during the design process. This paper describes a framework that enables a model-based system to use more information about an electrical design as it becomes available. It can provide common results at different stages through the design process, while using more detailed design information to resolve situations that are ambiguous in the qualitative case. The paper concentrates on the modeling of electrical systems containing electronic and mechanical components, specifically in vehicles, but considers the more general lessons to be learned from this work. en
dc.format.extent 7 en
dc.language.iso eng
dc.relation.ispartof en
dc.title Adaptable Modelling of Electrical Systems en
dc.type Text en
dc.type.publicationtype Conference paper en
dc.contributor.institution Department of Computer Science en
dc.description.status Non peer reviewed en


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