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]
日期:2018-05-29
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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