Titlebook: Engineering of Intelligent Systems; 14th International C László Monostori,József Váncza,Moonis Ali Conference proceedings 2001 Springer-Ver

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https://doi.org/10.1007/978-3-658-33681-3olodogy to support knowledge management especially in small and medium sized enterprises (SME). We build our approach on top of conceptual modelling pf company specific problem domain. Such a conceptual domain model may serve as a shared vocabulary to express context of various document published wi

出没

https://doi.org/10.1057/9780230375208sentation in . uses associations for describing links between classes instances. Secondly, . integrates an algebraic modeling language . for describing operational knowledge (equations, constraints and queries) in a declarative way. . comes as a platform for knowledge representation and manipulation

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or debuggingVHDL designs, and presents some practical results. The models are derived from a general value-based model representing different fault situations that should be handled by a debugger.We propose the use of a probability-based selection strategy for selecting the most appropriate model in

offense

https://doi.org/10.1007/978-1-349-18073-8eral framework yet. Main part of the research effort has been devoted to modeling issues. Most approaches have relied upon qualitative models due to the lack of accuracy, certainty and precision in quantitative models. Hence, one question arises, is still possible to use quantitative models in the A

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https://doi.org/10.1007/978-94-015-0959-6effect of model simplification assumptions is then determined by forward reasoning in order to take into account all of their implications. A bidirectional reasoning method for the retrieval of modelling assumptions from two related process models is proposed. An intelligent model editor is construc

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