Fu Feng, Wu Te, Wang Long
Program for Evolutionary Dynamics, Harvard University, Cambridge, Massachusetts 02138, USA.
Phys Rev E Stat Nonlin Soft Matter Phys. 2009 Mar;79(3 Pt 2):036101. doi: 10.1103/PhysRevE.79.036101. Epub 2009 Mar 9.
Previous studies suggest that cooperation prevails when individuals can switch their interaction partners quickly. However, it is still unclear how quickly individuals should switch adverse partners to maximize cooperation. To address this issue, we propose a simple model of coevolutionary prisoner's dilemma in which individuals are allowed to either adjust their strategies or switch their defective partners. Interestingly, we find that, depending on the game parameter, there is an optimal tendency of switching adverse partnerships that maximizes the fraction of cooperators in the population. We confirm that the stabilization of cooperation by partner switching remains effective under some situations, where either normalized or accumulated payoff is used in strategy updating, and where either only cooperators or all individuals are privileged to sever disadvantageous partners. We also provide an extended pair approximation to study the coevolutionary dynamics. Our results may be helpful in understanding the role of partner switching in the stabilization of cooperation in the real world.
先前的研究表明,当个体能够快速切换互动伙伴时,合作占主导地位。然而,个体应该多快切换不利伙伴以实现合作最大化仍不清楚。为了解决这个问题,我们提出了一个简单的协同进化囚徒困境模型,其中个体可以调整策略或切换有缺陷的伙伴。有趣的是,我们发现,根据博弈参数,存在一种最优的切换不利伙伴关系的倾向,可使群体中合作者的比例最大化。我们证实,在某些情况下,通过伙伴切换实现合作稳定仍然有效,这些情况包括在策略更新中使用归一化或累积收益,以及只有合作者或所有个体都有特权断绝不利伙伴关系。我们还提供了一个扩展的配对近似来研究协同进化动态。我们的结果可能有助于理解伙伴切换在现实世界中合作稳定中的作用。