Game-theoretic methods for analysis of tactical decision-making using agent-based combat simulations

Yevgeniy Vorobeychik, Isaac R. Porche

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper we provide a motivation and methods for using game-theoretic analysis for combat simulations. Application to three previously studied scenarios using the MANA (Map-Aware Non-Uniform Automata) simulation tool demonstrates theefficacyofour approach, and we provide a concrete example of the differences between the game-theoretic and the more standard decision-theoretic approaches. We believe that the game-theoretic simulation analysis framework can enhance the understanding oftacticalcombat landscape, especially in cases where intelligence efforts are ineffective or provide unreliable information, because in those cases game-theoretic analysis may help to corroborate or challenge intelligence-limited beliefs by assessing the rationality of the opponent's apparent strategy. We suggest that game-theoretic simulation analysiscould often bestbeused during the low-resolution, exploratory-analysis phase of a multiresolution analysis.

Original languageEnglish (US)
Pages (from-to)21-39
Number of pages19
JournalMilitary Operations Research
Volume14
Issue number4
StatePublished - 2009

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Mechanical Engineering
  • Management Science and Operations Research

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