Humans try to escape from their mundane lives and look for different experiences. Based on this assumption and story, this paper considers asynchronous public goods games on coevolving networks driven by payoff difference. Starting from a regular square lattice, agents disconnect from neighbors who have similar payoff, and they connect to new agents with different payoff. We measure network cohesion by the clustering coefficient. The results demonstrate multiple stages of the system. There are two stages where cooperation sustains. One is convex, and another is concave. When there is a shift from the defective stage to a cooperative one, the system generates a strong network cohesion facilitating cooperation to begin emerging. Near the tipping point of the two cooperative stages, the system strengthens the network cohesion to promote the stage transition. The time-dependent networks weaken the possibility of counteracting defection by forming cooperative alliances, which happens in the classic public goods game. However, the disconnection from similar payoff and the connection to different payoff can be matched appropriately to sustain cooperation best.

人类试图逃离平凡的生活，寻找不同的体验。基于这个假设和故事，本文考虑了由收益差异驱动的协同进化网络上的异步公共产品博弈。从规则的方格开始，代理与具有相似收益的邻居断开连接，并连接到具有不同收益的新代理。我们通过聚类系数来衡量网络凝聚力。结果展示了系统的多个阶段。合作有两个阶段。一个是凸的，另一个是凹的。当从缺陷阶段转变为合作阶段时，系统会产生强大的网络凝聚力，促进合作开始出现。在两个合作阶段的临界点附近，系统加强网络凝聚力促进阶段性转变。时间依赖网络削弱了通过形成合作联盟来抵消背叛的可能性，这发生在经典的公共物品博弈中。但是，可以适当地匹配与相似收益的断开以及与不同收益的连接，以最佳地维持合作。