- 著者
-
塚本 鋭
内田 誠
白山 晋
- 出版者
- 一般社団法人 人工知能学会
- 雑誌
- 人工知能学会論文誌 (ISSN:13460714)
- 巻号頁・発行日
- vol.24, no.5, pp.438-445, 2009 (Released:2009-07-17)
- 参考文献数
- 14
- 被引用文献数
-
1
1
We study how initial network structure affects the evolution of cooperation in a spatial prisoner's dilemma game. The network structure is characterized by various statistical properties. In those properties, we focus on the variance of degree distribution, and inquire how it affects the evolution of cooperation. Some interactions between the variance of degree distribution and other statistical properties such as degree correlation and cluster coefficient are investigated. Moreover we compare results of static networks with those of dynamical networks generated in a process of replacing links by natural selection. It is found that a scale-free network does not always promote the evolution of cooperation, and there exists an appropriate value of the variance, at which the cooperation progresses strongly. In addition, we find that the effects of degree correlation and cluster coefficient for the evolution of cooperation vary with different variances of degree distribution.