Title :
Collective emergence in a multi-agent network with adaptive games
Author :
Yu, Wang ; Xiang, Li
Author_Institution :
Electron. Eng. Dept., Fudan Univ., Shanghai, China
Abstract :
The special evolutionary game with individual mobility has been one of the focal points in recent years, while most of exist literatures only simply combine the two aspects together. In this paper, we target at the Public Goods Game (PGG), and the players´ moving direction are decided based on their strategies. We observe the strategy distribution and collective formation of all players in two extreme initial situations. When we change one player´s strategy in the pure strategy population, the whole group may evolve a drastic change and finally the fraction of cooperators fluctuate in a small range, and two strategies can coexist in the population. At the same time, the whole multi-agent network presents the clustered consensus and/or lattice collective patterns.
Keywords :
evolutionary computation; game theory; multi-agent systems; network theory (graphs); PGG; adaptive games; clustered consensus; collective emergence; evolutionary game; lattice collective patterns; multiagent network; players moving direction; players strategy; public goods game; strategy distribution; Adaptive systems; Educational institutions; Electronic mail; Evolution (biology); Games; Sociology; Statistics; Collective patterns; Mobility; Public Goods Game; Strategies;
Conference_Titel :
Control Conference (CCC), 2012 31st Chinese
Conference_Location :
Hefei
Print_ISBN :
978-1-4673-2581-3