A survey on the analysis and control of evolutionary matrix games

被引：49

作者：

Riehl, James ^{[1
]}

Ramazi, Pouria ^{[2
]}

Cao, Ming ^{[3
]}

机构：

[1] Washington Univ, Dept Elect & Syst Engn, St Louis, MO 63130 USA

[2] Univ Alberta, Dept Math & Stat Sci, Edmonton, AB, Canada

[3] Univ Groningen, Fac Sci & Engn, Groningen, Netherlands

来源：

ANNUAL REVIEWS IN CONTROL | 2018年 / 45卷

关键词：

Evolutionary games; Population dynamics; Equilibrium convergence; Control strategies; LOTKA-VOLTERRA EQUATION; REPLICATOR DYNAMICS; STABLE STRATEGIES; RESPONSE DYNAMICS; POPULATION GAMES; FICTITIOUS PLAY; SNOWDRIFT GAMES; CONTINUOUS-TIME; NETWORKS; CONVERGENCE;

D O I：

10.1016/j.arcontrol.2018.04.010

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In support of the growing interest in how to efficiently influence complex systems of interacting self interested agents, we present this review of fundamental concepts, emerging research, and open problems related to the analysis and control of evolutionary matrix games, with particular emphasis on applications in social, economic, and biological networks. (C) 2018 Elsevier Ltd. All rights reserved.

引用

页码：87 / 106

页数：20

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