Paper
20 May 2011 Improved representation of situational awareness within a dismounted small combat unit constructive simulation
K. David Lee, Mike Colony
Author Affiliations +
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.
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K. David Lee and Mike Colony "Improved representation of situational awareness within a dismounted small combat unit constructive simulation", Proc. SPIE 8060, Modeling and Simulation for Defense Systems and Applications VI, 80600G (20 May 2011); https://doi.org/10.1117/12.882749
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KEYWORDS
Monte Carlo methods

Systems modeling

Data modeling

Process modeling

Situational awareness sensors

Computer simulations

Modeling and simulation

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