Game Theory and Control

博弈论 计算机科学 控制器(灌溉) 算法博弈论 非合作博弈 序贯博弈 决策论 控制(管理) 筛选游戏 正常形式游戏 重复博弈 随机博弈 数理经济学 积极政治理论 实施理论 纳什均衡 微观经济学 人工智能 数学 统计 农学 生物
作者
Jason R. Marden,Jeff S. Shamma
出处
期刊:Annual review of control, robotics, and autonomous systems [Annual Reviews]
卷期号:1 (1): 105-134 被引量:44
标识
DOI:10.1146/annurev-control-060117-105102
摘要

Game theory is the study of decision problems in which there are multiple decision makers and the quality of a decision maker's choice depends on both that choice and the choices of others. While game theory has been studied predominantly as a modeling paradigm in the mathematical social sciences, there is a strong connection to control systems in that a controller can be viewed as a decision-making entity. Accordingly, game theory is relevant in settings with multiple interacting controllers. This article presents an introduction to game theory, followed by a sampling of results in three specific control theory topics where game theory has played a significant role: ( a) zero-sum games, in which the two competing players are a controller and an adversarial environment; ( b) team games, in which several controllers pursue a common goal but have access to different information; and ( c) distributed control, in which both a game and online adaptive rules are designed to enable distributed interacting subsystems to achieve a collective objective.

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