Cooperation influenced by the correlation degree of two-layered complex networks in evolutionary prisoner's dilemma games

doi:10.1088/1674-1056/19/2/020203

Abstract An evolutionary prisoner's dilemma game is investigated on two-layered complex networks respectively representing interaction and learning networks in one and two dimensions. A parameter q is introduced to denote the correlation degree between the two-layered networks. Using Monte Carlo simulations we studied the effects of the correlation degree on cooperative behaviour and found that the cooperator density nontrivially changes with q for different payoff parameter values depending on the detailed strategy updating and network dimension. An explanation for the obtained results is provided.

Keywords: prisoner's dilemma game two-layered complex networks cooperation

Received: 01 March 2009
Revised: 10 July 2009
Accepted manuscript online:

PACS:	89.75.Hc	(Networks and genealogical trees)
	02.50.Le	(Decision theory and game theory)
	89.75.Fb	(Structures and organization in complex systems)
	02.50.Ng	(Distribution theory and Monte Carlo studies)

Fund: Project supported by the National Natural Science Foundation of China (Grant No. 10775060).

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Guan Jian-Yue(关剑月), Wu Zhi-Xi(吴枝喜), Huang Zi-Gang(黄子罡), and Wang Ying-Hai(汪映海) Cooperation influenced by the correlation degree of two-layered complex networks in evolutionary prisoner's dilemma games 2010 Chin. Phys. B 19 020203

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Cooperation influenced by the correlation degree of two-layered complex networks in evolutionary prisoner's dilemma games

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