On Models, Modelling and the Distinctive Nature of Model-Based Reasoning

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dc.contributor.author Lee, Mark
dc.date.accessioned 2006-04-06T13:47:09Z
dc.date.available 2006-04-06T13:47:09Z
dc.date.issued 1999
dc.identifier.citation Lee , M 1999 , ' On Models, Modelling and the Distinctive Nature of Model-Based Reasoning ' AI Communications , vol 12 , no. 3 , pp. 127-137 . en
dc.identifier.other PURE: 67497
dc.identifier.other dspace: 2160/96
dc.identifier.uri http://hdl.handle.net/2160/96
dc.description M.H. Lee, On Models, Modelling and the Distinctive Nature of Model-Based Reasoning, AI Communications, 12 (3), pp127-137.1999. en
dc.description.abstract What are models and how is the relatively new technology of Model-Based Reasoning different from conventional modelling in science and engineering? These questions are explored in this paper by examining the fundamental nature of models. We explore model characteristics, different classes of model and various dimensions of the modelling space. Our analysis puts models into a general framework from which emerges the interesting case of qualitative models. Inevitably, such a broad treatment must be a personal view but the objective is to draw attention to key issues. Our aim is to increase understanding of the modelling process and clarify the options available for model builders. We argue that the technology known as Model-Based Reasoning, which uses explicit, executable models is a powerful and widely applicable approach that has much potential for managing the complexity encountered in many application domains. The advantages of the method include an emphasis on principled model design, the ability to guarantee completeness of the solutions and powerful reuse and automation opportunities. en
dc.format.extent 11 en
dc.language.iso eng
dc.relation.ispartof AI Communications en
dc.title On Models, Modelling and the Distinctive Nature of Model-Based Reasoning en
dc.type Text en
dc.type.publicationtype Article (Journal) en
dc.contributor.institution Department of Computer Science en
dc.contributor.institution Advanced Reasoning Group en
dc.description.status Peer reviewed en


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