Paper
22 May 2006 A framework for modeling and simulation at multiple levels of abstraction
Michael Graul, Perakath Benjamin, Mukul Patki, Madhav Erraguntla
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Abstract
This paper identifies and addresses the issues associated with modeling and simulation and multiple levels of abstraction, or multi-resolution modeling (MRM). An extensive literature review is conducted to encompass all schools of thought in the area into this research. We begin by outlining the need for MRM and describe the problems encountered when two or more models developed at different resolutions are to be integrated into a single application. These problems can manifest themselves in different ways in the model, depending on the specific phenomenon being modeled. A distinction is made in identifying these manifestations based on whether the underlying model is a process model such as an IDEF3 model, or an executable simulation model. Heuristic approaches have developed to assist with different aspects of model composability efforts. Finally, a rule-based approach has been developed to identify any such problems, or abstraction mismatches, that may occur if the two models are integrated into a single application. A conceptual description of these rules and their motivation is provided.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michael Graul, Perakath Benjamin, Mukul Patki, and Madhav Erraguntla "A framework for modeling and simulation at multiple levels of abstraction", Proc. SPIE 6227, Enabling Technologies for Simulation Science X, 622706 (22 May 2006); https://doi.org/10.1117/12.668496
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Process modeling

Data modeling

Systems modeling

Missiles

Modeling and simulation

Atrial fibrillation

Stochastic processes

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