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- W4286233764 abstract "Game theory has by now found numerous applications in various fields, including economics, industry, jurisprudence, and artificial intelligence, where each player only cares about its own interest in a noncooperative or cooperative manner, but without obvious malice to other players. However, in many practical applications, such as poker, chess, evader pursuing, drug interdiction, coast guard, cyber-security, and national defense, players often have apparently adversarial stances, that is, selfish actions of each player inevitably or intentionally inflict loss or wreak havoc on other players. Along this line, this paper provides a systematic survey on three main game models widely employed in adversarial games, i.e., zero-sum normal-form and extensive-form games, Stackelberg (security) games, zero-sum differential games, from an array of perspectives, including basic knowledge of game models, (approximate) equilibrium concepts, problem classifications, research frontiers, (approximate) optimal strategy seeking techniques, prevailing algorithms, and practical applications. Finally, promising future research directions are also discussed for relevant adversarial games." @default.
- W4286233764 created "2022-07-21" @default.
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- W4286233764 date "2022-07-16" @default.
- W4286233764 modified "2023-09-25" @default.
- W4286233764 title "A Survey of Decision Making in Adversarial Games" @default.
- W4286233764 doi "https://doi.org/10.48550/arxiv.2207.07971" @default.
- W4286233764 hasPublicationYear "2022" @default.
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