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An improved approach for adversarial decision making under uncertainty based on simultaneous game

  • Northwestern Polytechnical University Xian

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

Game theory is used widely when to make decisions in an adversarial environment. There are usually two adversarial players in a game and both of players try to maximize their payoffs. However the classical game assumes the players are rational and do not consider other uncertainty factors such as personal preference. This paper proposes a method to take uncertainty into account when using game theory to make decisions. And Dempster-Shafer evidence theory is used to deal with the uncertainty, then the payoff matrix of game can be modified properly and the new payoff matrix reflects the impact of uncertain factors. Finally the equilibrium solution is computed which is the optimal decision under uncertainty.

Original languageEnglish
Title of host publicationProceedings of the 30th Chinese Control and Decision Conference, CCDC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2499-2503
Number of pages5
ISBN (Electronic)9781538612439
DOIs
StatePublished - 6 Jul 2018
Event30th Chinese Control and Decision Conference, CCDC 2018 - Shenyang, China
Duration: 9 Jun 201811 Jun 2018

Publication series

NameProceedings of the 30th Chinese Control and Decision Conference, CCDC 2018

Conference

Conference30th Chinese Control and Decision Conference, CCDC 2018
Country/TerritoryChina
CityShenyang
Period9/06/1811/06/18

Keywords

  • Decision Making
  • Evidence Theory
  • Game Theory
  • Uncertainty

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