Paper
20 June 1997 Analyzing models for abstraction
Frederick K. Frantz
Author Affiliations +
Abstract
Model abstraction is a method for reducing the complexity of a simulation model while maintaining the validity of the simulation results with respect to the question that the simulation is being used to address. Frantz identified and categorized a number of abstraction techniques drawn from both traditional simulation modeling and more recent approaches such as qualitative simulation and metamodeling. In this paper, we consider how to make practical use of the abstraction concept. We first look at some examples of abstractions to illustrate the concepts and applications of abstractions in the context of actual models. We then generalize these examples to discuss a methodology for using abstractions as the basis for model analysis and design.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Frederick K. Frantz "Analyzing models for abstraction", Proc. SPIE 3083, Enabling Technology for Simulation Science, (20 June 1997); https://doi.org/10.1117/12.276709
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Cited by 7 scholarly publications.
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KEYWORDS
Weapons

Systems modeling

Data modeling

Computer simulations

Taxonomy

Analytical research

Data processing

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