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Promotion of cooperation due to diversity of players in the spatial public goods game with increasing neighborhood size

机译:由于社区公共空间博弈中参与者的多样性,促进了合作关系

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It is well-known that individual diversity is a typical feature within the collective population. To model this kind of characteristics, we propose an evolutionary model of public goods game with two types of players (named as A and B), where players are located on the sites of a square lattice satisfying the periodic boundary conditions. The evolution of the strategy distribution is governed by iterated strategy adoption from a randomly selected neighbor with a probability, which not only depends on the payoff difference between players, but also on the type of the neighbor. For B-type agents, we pose a prefactor (0 < w < 1) to the strategy transfer probability, which implies the lower teaching activity or strategy convincing performance; but w is always set to be 1 for A-type agents, hence it means that A-type players are influential ones who own a larger strategy spreading chance. Furthermore, we also consider the competition between two opposite effects when the number of nearest neighbors (k) is increased from 4 to 24. Within a range of the portion of A-type influential players, the inhomogeneous teaching activity in strategy transfer yields a relevant increase (dependent onw) in the density of cooperators characterizing the promotion of cooperation. Current findings are of utmost importance for us to understand the evolution of cooperation under many real-world circumstances, such as the natural, biological, economic and even social systems.
机译:众所周知,个体多样性是集体人口中的典型特征。为了对这种特征进行建模,我们提出了具有两种类型的参与者(分别称为A和B)的公共物品博弈的演化模型,其中,参与者位于满足周期性边界条件的方格子的位置上。策略分布的演变由随机选择的邻居以概率选择迭代策略来控制,该概率不仅取决于玩家之间的收益差异,还取决于邻居的类型。对于B型代理,我们为策略转移概率设置一个前置因子(0

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