Paul A. Fishwick
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Index Terms
- An integrated approach to system modeling using a synthesis of artificial intelligence, software engineering and simulation methodologies
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Reviews
Daniel J. Schuster
Software and simulation engineers, artificial intelligence practitioners, students, and educators all simulate systems. Work in each field is insular, and not much has been written about creating models. The author says a common framework is needed so each can share in the others progress. His observation of a trend to more complex systems with embedded computers in each component is important. The trend is being fueled by the dive in computer prices. A strength of the paper is its overview of the modeling process, a commentary on the 92 references. The author offers an interactive, object-oriented approach to developing models at four levels of abstraction. He also defines a language to specify a models structure. The conceptual level is intended to understand the objects and how they relate to each other. A non-executable diagram is developed using this checklist: Identify objects and classes. Prepare a data dictionary. Identify associations and aggregations among objects. Identify attributes and objects and links. Organize and simplify object classes using i nheritance. At the declarative or functional level, all model nodes are of the same type. At the heterogeneous level, the model is made up of different types of sub-models. At the multi-model level, many models of different types are linked together. This paper is the basis of a textbook on simulation modeling that the author is writing. Presumably, the software to accompany the book will make it easy to model at several levels of detail. I hope it will be available soon.
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