标题： 渴望邻居的适应度以解决社会困境 显示英文标题

标题： Coveting thy neighbors fitness as a means to resolve social dilemmas

摘要： 在空间进化博弈中，每个个体的适应度传统上由其与邻居进行博弈时获得的收益决定。 由于背叛能带来最大的个人利益，合作者的前景暗淡。 尽管网络互惠促进了合作努力，但如果背叛的诱惑力很强，避免即将来临的社会衰退的机会仍然渺茫。 因此，确定能够为合作进化提供额外支持的可行机制是有意义的。 受环境可能与遗传同样重要这一事实的启发，我们引入了一个简单的开关，允许玩家保留其原始收益或使用所有邻居的平均收益。 根据哪种收益更高，可以通过一个参数来调整任一选项的影响。 我们表明，总体而言，考虑环境有助于促进合作。 然而，过于渴望邻居的适应度并不是最优的。 事实上，只有当传统方式获得的收益影响与邻里平均收益的影响相等时，合作才能最好地蓬勃发展。 我们展示了囚徒困境和雪堆博弈的结果，以及不同水平的不确定性对策略采用过程的影响，以及不同邻域大小的情况。 我们的方法概述了一种在结构化种群中增加合作行为的可行途径，但需要谨慎实施。 显示英文摘要

摘要： In spatial evolutionary games the fitness of each individual is traditionally determined by the payoffs it obtains upon playing the game with its neighbors. Since defection yields the highest individual benefits, the outlook for cooperators is gloomy. While network reciprocity promotes collaborative efforts, chances of averting the impending social decline are slim if the temptation to defect is strong. It is therefore of interest to identify viable mechanisms that provide additional support for the evolution of cooperation. Inspired by the fact that the environment may be just as important as inheritance for individual development, we introduce a simple switch that allows a player to either keep its original payoff or use the average payoff of all its neighbors. Depending on which payoff is higher, the influence of either option can be tuned by means of a single parameter. We show that, in general, taking into account the environment promotes cooperation. Yet coveting the fitness of one's neighbors too strongly is not optimal. In fact, cooperation thrives best only if the influence of payoffs obtained in the traditional way is equal to that of the average payoff of the neighborhood. We present results for the prisoner's dilemma and the snowdrift game, for different levels of uncertainty governing the strategy adoption process, and for different neighborhood sizes. Our approach outlines a viable route to increased levels of cooperative behavior in structured populations, but one that requires a thoughtful implementation.