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Proceedings Paper

Model abstraction and the simulation sandbox
Author(s): Dawn A. Trevisani; Alex F. Sisti; Michael J. Mayhew
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Paper Abstract

The Air Force Hierarchy of Models, often referred to as the Great Pyramid, depicts the four disparate levels of resolution in which models are typically categorized. These levels range from an Engineering/Component level at the bottom, to Theater/Campaign level at the apex of the pyramid. Today, the landscape of simulations has evolved from uni-purpose, stove-piped simulations to those that provide a Joint Vision encompassing a much broader scope. Within the simulation community, there exists the desire for model reuse, particularly when it involves the reuse of validated legacy codes. Much effort has been put forth to integrate existing models into a federated system. Integrating models of similar resolution is difficult enough; yet, even more difficult is the more prevalent situation where models are represented at different levels of resolution. Often referred to as Mixed Resolution Modeling (or Multiresolution Modeling), it is arguably the most pressing problem facing the simulation research community today. This paper will describe an attempt to address the MRM problem by applying model abstraction techniques to reduce the complexity of a detailed model without sacrificing the essence of the model. This surrogate version of the detailed model will then be able to play within a more aggregate simulation environment. To demonstrate, JSAF (Joint Semi- Automated Forces) will be used to simulate the behavior of models at both the detailed and abstract levels. The results will be compared to demonstrate the impact and utility of model abstraction.

Paper Details

Date Published: 15 July 2002
PDF: 7 pages
Proc. SPIE 4716, Enabling Technologies for Simulation Science VI, (15 July 2002); doi: 10.1117/12.474915
Show Author Affiliations
Dawn A. Trevisani, Air Force Research Lab. (United States)
Alex F. Sisti, Air Force Research Lab. (United States)
Michael J. Mayhew, Northrop Grumman Corp. (United States)

Published in SPIE Proceedings Vol. 4716:
Enabling Technologies for Simulation Science VI
Alex F. Sisti; Dawn A. Trevisani, Editor(s)

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