Analyzing air combat simulation results with dynamic Bayesian networks

  • Authors:
  • Jirka Poropudas;Kai Virtanen

  • Affiliations:
  • Helsinki University of Technology, FIN, HUT, Finland;Helsinki University of Technology, FIN, HUT, Finland

  • Venue:
  • Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
  • Year:
  • 2007

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Abstract

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.