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<p>One of the key abilities of agents in military simulations is to react to both  detections of and counter-detections by other agents in the environment. While methods  have been developed to model these detections and counter-detections, the majority of  these methods model detection and counter-detection as an all or nothing prospect in  which an un-detected entity at some point crosses an arbitrary threshold of observability  and becomes fully detected. In actuality, even extremely uncertain or incomplete  detections and counter-detections of opposing entities can provide enough data for  entities to make reasonably intelligent decisions on the virtual battlefield. Recent  developments in commercial gaming artificial intelligence suggest that particle-based  tracking techniques can provide accurate and computationally efficient state estimation of  opposing agents within virtual environments. In this work several particle-based methods  for obtaining and tracking contacts are explored to determine the feasibility of their use as  a general purpose tracking technique in military simulations.
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<br>Subjects: Target acquisition; Computer simulation; Sparse matrices</div>
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Borovies, Drew A.</div>
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