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Stochastic evolutionary dynamics in minimum-effort coordination games

机译:最小努力协调游戏中的随机演化动力学

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摘要

The minimum-effort coordination game draws recently more attention for the fact that human behavior in this social dilemma is often inconsistent with the predictions of classical game theory. Here, we combine evolutionary game theory and coalescence theory to investigate this game in finite populations. Both analytic results and individual-based simulations show that effort costs play a key role in the evolution of contribution levels, which is in good agreement with those observed experimentally. Besides well-mixed populations, set structured populations have also been taken into consideration. Therein we find that large number of sets and moderate migration rate greatly promote effort levels, especially for high effort costs. (C) 2016 Elsevier B.V. All rights reserved.
机译:最小努力协调博弈最近引起了人们的更多关注,因为在这种社会困境中人类的行为常常与经典博弈论的预测不一致。在这里,我们结合进化博弈论和合并理论来研究有限种群中的这种博弈。分析结果和基于个体的模拟都表明,努力成本在贡献水平的演变中起着关键作用,这与实验观察到的结果非常吻合。除了高度混合的人口外,还考虑了固定的结构化人口。其中,我们发现大量的数据集和适度的迁移速度大大提高了工作量,特别是对于高工作量成本而言。 (C)2016 Elsevier B.V.保留所有权利。

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