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Proceedings Paper

A framework for modeling and simulation at multiple levels of abstraction
Author(s): Michael Graul; Perakath Benjamin; Mukul Patki; Madhav Erraguntla
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Paper 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.

Paper Details

Date Published: 22 May 2006
PDF: 9 pages
Proc. SPIE 6227, Enabling Technologies for Simulation Science X, 622706 (22 May 2006); doi: 10.1117/12.668496
Show Author Affiliations
Michael Graul, Knowledge Based Systems, Inc. (United States)
Perakath Benjamin, Knowledge Based Systems, Inc. (United States)
Mukul Patki, Knowledge Based Systems, Inc. (United States)
Madhav Erraguntla, Knowledge Based Systems, Inc. (United States)


Published in SPIE Proceedings Vol. 6227:
Enabling Technologies for Simulation Science X
Dawn A. Trevisani, Editor(s)

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