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2007

Analyzing air combat simulation results with dynamic Bayesian networks

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Analyzing air combat simulation results with dynamic Bayesian networks
In this paper, air combat simulation data is reconstructed into a dynamic Bayesian network. It gives a compact probabilistic model that describes the progress of air combat and allows efficient computing for study of different courses of the combat. This capability is used in what-if type analysis that investigates the effect of different air combat situations on the air combat evolution and outcome. The utilization of the dynamic Bayesian network is illustrated by analyzing simulation results produced with a discrete event air combat simulation model called X-Brawler.
Jirka Poropudas, Kai Virtanen
Added 02 Oct 2010
Updated 02 Oct 2010
Type Conference
Year 2007
Where WSC
Authors Jirka Poropudas, Kai Virtanen
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