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在复杂网络上存在决策错误的情况下,移动性会增强合作。

Mobility enhances cooperation in the presence of decision-making mistakes on complex networks.

作者信息

Yu Wenjian

机构信息

Eidgenössische Technische Hochschule Zurich, CLU C4, Clausiusstrasse 50, CH-8092 Zurich, Switzerland.

出版信息

Phys Rev E Stat Nonlin Soft Matter Phys. 2011 Feb;83(2 Pt 2):026105. doi: 10.1103/PhysRevE.83.026105. Epub 2011 Feb 15.

Abstract

Human migration has profound effects on social change. The introduction of success-driven migration to selfish individuals has revealed significant effects on the promotion of cooperation in spatial evolutionary games. In this study, we generalize the interaction structure from a spatial lattice to complex networks, such as Erdős-Renyi random networks and Barabási-Albert scale-free networks. Keeping the topology of networks, we investigate the robustness of cooperation when individuals can make decision errors. Numerical simulations demonstrate the effectiveness of success-driven migration on the enhancement of cooperation confronted with individual decision-making mistakes. In contrast, even a very low probability of decision errors can decrease the level of cooperation without mobility. Statistical analysis further exhibits the relation between network topology and migratory behavior.

摘要

人类迁移对社会变革有着深远影响。将成功驱动的迁移引入自私个体已揭示出其对空间进化博弈中合作促进的显著影响。在本研究中,我们将交互结构从空间晶格推广到复杂网络,如厄多斯 - 雷尼随机网络和巴拉巴西 - 阿尔伯特无标度网络。在保持网络拓扑结构的情况下,我们研究当个体可能做出决策错误时合作的稳健性。数值模拟表明成功驱动的迁移在面对个体决策错误时对增强合作的有效性。相比之下,即使决策错误的概率非常低,在没有迁移的情况下也会降低合作水平。统计分析进一步展示了网络拓扑与迁移行为之间的关系。

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