Modified snowdrift games for multi-robot water polo matches
In this paper, using game theoretic ideas, we propose a modified snowdrift game to study the emergence and evolution of cooperation among robots in multi-robot water polo matches. We first formulate a game setting in which groups of robots play matches repeatedly that are modeled by modified snowdrift games. Then by introducing a cooperation coefficient we investigate how evolutionary stability is affected by cooperation efficiency through replicator dynamics in infinite populations. We identify evolutionarily stable strategies (ESS) under different fixed values of the cooperation coefficient. We further study the co-evolution of the cooperation efficiency with game dynamics using simulations of Fermi processes in finite populations. It is found that the cooperation efficiency improves when robots are capable to learn.
Multi-robot coordination robotic water polo evolutionary game theory snowdrift game ESS
Chen Wang Bin Wu Ming Cao Guangming Xie
Faculty of Mathematics and Natural Sciences, ITM, University of Groningen, the Netherlands Intellige Intelligent Control Laboratory, College of Engineering, Peking University, Beijing, China Faculty of Mathematics and Natural Sciences, ITM, University of Groningen, the Netherlands
国际会议
The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)
太原
英文
164-169
2012-05-23（万方平台首次上网日期，不代表论文的发表时间）