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Proceedings Paper

Improved representation of situational awareness within a dismounted small combat unit constructive simulation
Author(s): K. David Lee; Mike Colony
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Paper Abstract

Modeling and simulation has been established as a cost-effective means of supporting the development of requirements, exploring doctrinal alternatives, assessing system performance, and performing design trade-off analysis. The Army's constructive simulation for the evaluation of equipment effectiveness in small combat unit operations is currently limited to representation of situation awareness without inclusion of the many uncertainties associated with real world combat environments. The goal of this research is to provide an ability to model situation awareness and decision process uncertainties in order to improve evaluation of the impact of battlefield equipment on ground soldier and small combat unit decision processes. Our Army Probabilistic Inference and Decision Engine (Army-PRIDE) system provides this required uncertainty modeling through the application of two critical techniques that allow Bayesian network technology to be applied to real-time applications. (Object-Oriented Bayesian Network methodology and Object-Oriented Inference technique). In this research, we implement decision process and situation awareness models for a reference scenario using Army-PRIDE and demonstrate its ability to model a variety of uncertainty elements, including: confidence of source, information completeness, and information loss. We also demonstrate that Army-PRIDE improves the realism of the current constructive simulation's decision processes through Monte Carlo simulation.

Paper Details

Date Published: 20 May 2011
PDF: 10 pages
Proc. SPIE 8060, Modeling and Simulation for Defense Systems and Applications VI, 80600G (20 May 2011); doi: 10.1117/12.882749
Show Author Affiliations
K. David Lee, Decisive Analytics Corp. (United States)
Mike Colony, Decisive Analytics Corp. (United States)

Published in SPIE Proceedings Vol. 8060:
Modeling and Simulation for Defense Systems and Applications VI
Eric J. Kelmelis, Editor(s)

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