Paper
19 September 2001 Predictive models of battle dynamics
Author Affiliations +
Abstract
The application of control and game theories to improve battle planning and execution requires models, which allow military strategists and commanders to reliably predict the expected outcomes of various alternatives over a long horizon into the future. We have developed probabilistic battle dynamics models, whose building blocks in the form of Markov chains are derived from the first principles, and applied them successfully in the design of the Model Predictive Task Commander package. This paper introduces basic concepts of our modeling approach and explains the probability distributions needed to compute the transition probabilities of the Markov chains.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jan Jelinek "Predictive models of battle dynamics", Proc. SPIE 4367, Enabling Technology for Simulation Science V, (19 September 2001); https://doi.org/10.1117/12.440040
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CITATIONS
Cited by 5 scholarly publications.
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KEYWORDS
Weapons

Bismuth

Systems modeling

Matrices

Mathematical modeling

Clocks

Missiles

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