Van Segbroeck S, Santos F C, Lenaerts T, Pacheco J M
COMO, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium.
Phys Rev Lett. 2009 Feb 6;102(5):058105. doi: 10.1103/PhysRevLett.102.058105.
We investigate how diversity in individual responses to unwanted interactions affects the evolution of cooperation modeled as a 2-person prisoner's dilemma. We combine adaptive networks and evolutionary game theory, showing analytically how the coevolution of social dynamics, network dynamics, and behavioral differences benefit the entire community even though myopic individuals still act in their own interest. As defectors are wiped out, surviving cooperators maintain the full diversity of behavioral types, establishing cooperation as a robust evolutionary strategy. The present framework can be used in other problems where the feedback between topology and dynamics affects the overall behavior of the system.
我们研究了个体对不良互动的反应差异如何影响以两人囚徒困境建模的合作进化。我们将自适应网络与进化博弈论相结合，通过分析表明，尽管目光短浅的个体仍追求自身利益，但社会动态、网络动态和行为差异的共同进化如何使整个群体受益。随着背叛者被淘汰，幸存的合作者保持了行为类型的完全多样性，将合作确立为一种稳健的进化策略。当前框架可用于拓扑结构与动态之间的反馈影响系统整体行为的其他问题。
