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Proceedings Paper

Summary of model abstraction techniques
Author(s): Donald Caughlin; Alex F. Sisti
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Paper Abstract

This paper presents an overview of model abstraction methods. Model abstraction methods are techniques that derive simpler conceptual models while maintaining the validity of the simulation results. These methods include variable resolution modeling, combined modeling, multimodeling, and metamodeling. In addition, some taxonomies include approximation, aggregation, linear function interpolation, and look up tables as model abstraction methods. We discuss these methods in a general framework to assist in understanding the applicability of the various model abstraction methods.

Paper Details

Date Published: 20 June 1997
PDF: 12 pages
Proc. SPIE 3083, Enabling Technology for Simulation Science, (20 June 1997); doi: 10.1117/12.276726
Show Author Affiliations
Donald Caughlin, Univ. of Colorado/Colorado Springs (United States)
Alex F. Sisti, Rome Lab. (United States)


Published in SPIE Proceedings Vol. 3083:
Enabling Technology for Simulation Science
Alex F. Sisti, Editor(s)

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