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Coevolution of Vertex Weights Resolves Social Dilemma in Spatial Networks

机译:顶点权重的协同进化解决了空间网络中的社会难题

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摘要

In realistic social system, the role or influence of each individual varies and adaptively changes in time in the population. Inspired by this fact, we thus consider a new coevolution setup of game strategy and vertex weight on a square lattice. In detail, we model the structured population on a square lattice, on which the role or influence of each individual is depicted by vertex weight, and the prisoner’s dilemma game has been applied to describe the social dilemma of pairwise interactions of players. Through numerical simulation, we conclude that our coevolution setup can promote the evolution of cooperation effectively. Especially, there exists a moderate value of δ for each ε that can warrant an optimal resolution of social dilemma. For a further understanding of these results, we find that intermediate value of δ enables the strongest heterogeneous distribution of vertex weight. We hope our coevolution setup of vertex weight will provide new insight for the future research.
机译:在现实的社会系统中,每个人的角色或影响会随着时间的推移而变化并适应性地变化。受这一事实的启发,我们因此考虑了一种新的游戏策略和方阵权重的协同进化设置。详细地说,我们在正方形格子上模拟结构化的人口,在每个格子上用顶点权重表示每个人的角色或影响,并且使用囚徒困境博弈来描述玩家成对互动的社会困境。通过数值模拟,我们得出结论,我们的协同进化设置可以有效地促进合作的发展。尤其是,每个ε都有一个适中的δ值,可以保证社会困境的最佳解决方案。为了进一步理解这些结果,我们发现δ的中间值使顶点权重的分布最强。我们希望我们的顶点权重的协同进化设置将为将来的研究提供新的见解。

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