TALUS—an object oriented air combat simulation
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 2
Bayesian Networks and Decision Graphs
Bayesian Networks and Decision Graphs
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Simulation analysis: applications of discrete event simulation modeling to military problems
Proceedings of the 33nd conference on Winter simulation
Learning Bayesian Networks
Influence diagrams in analysis of discrete event simulation data
Winter Simulation Conference
Multiple input and multiple output simulation metamodeling using Bayesian networks
Proceedings of the Winter Simulation Conference
Simulation metamodeling in continuous time using dynamic Bayesian networks
Proceedings of the Winter Simulation Conference
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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.