计算机科学
复杂网络
弹性(材料科学)
囚徒困境
动态网络分析
困境
GSM演进的增强数据速率
复杂系统
心理弹性
不断发展的网络
博弈论
分布式计算
微观经济学
人工智能
计算机网络
数学
社会心理学
经济
心理学
物理
几何学
万维网
热力学
作者
Xiaoqian Zhao,Kaipeng Hu,Yewei Tao,Libin Jin,Лей Ши
出处
期刊:Chaos
[American Institute of Physics]
日期:2024-07-01
卷期号:34 (7)
摘要
In complex social systems, individual relationships and the surrounding environment are constantly changing, allowing individuals to interact on dynamic networks. This study aims to investigate how individuals in a dynamic network engaged in a prisoner’s dilemma game adapt their competitive environment through random edge breaks and reconnections when faced with incomplete information and adverse local conditions, thereby influencing the evolution of cooperative behavior. We find that random edge breaks and reconnections in dynamic networks can disrupt cooperative clusters, significantly hindering the development of cooperation. This negative impact becomes more pronounced over larger time scales. However, we also observe that nodes with higher degrees of connectivity exhibit greater resilience to this cooperation disruption. Our research reveals the profound impact of dynamic network structures on the evolution of cooperation and provides new insights into the mechanisms of cooperation in complex systems.
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