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Invasion of cooperators in lattice populations: Linear and non-linear public good games

机译:合作者对晶格种群的入侵:线性和非线性公共物品博弈

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摘要

A generalized version of the N-person volunteer's dilemma (NVD) Game has been suggested recently for illustrating the problem of N-person social dilemmas. Using standard replicator dynamics it can be shown that coexistence of cooperators and defectors is typical in this model. However, the question of how a rare mutant cooperator could invade a population of defectors is still open.Here we examined the dynamics of individual based stochastic models of the NVD. We analyze the dynamics in well-mixed and viscous populations. We show in both cases that coexistence between cooperators and defectors is possible; moreover, spatial aggregation of types in viscous populations can easily lead to pure cooperation. Furthermore we analyze the invasion of cooperators in populations consisting predominantly of defectors. In accordance with analytical results, in deterministic systems, we found the invasion of cooperators successful in the well-mixed case only if their initial concentration was higher than a critical threshold, defined by the replicator dynamics of the NVD. In the viscous case, however, not the initial concentration but the initial number determines the success of invasion. We show that even a single mutant cooperator can invade with a high probability, because the local density of aggregated cooperators exceeds the threshold defined by the game. Comparing the results to models using different benefit functions (linear or sigmoid), we show that the role of the benefit function is much more important in the well-mixed than in the viscous case.
机译:最近有人提出了N人志愿者困境(NVD)游戏的通用版本,以说明N人社交困境的问题。使用标准的复制器动力学,可以证明在此模型中合作者和叛逃者的共存是典型的。然而,一个罕见的突变合作者如何入侵一群叛逃者的问题仍然悬而未决。在这里,我们研究了基于个体的NVD随机模型的动力学。我们分析了良好混合和粘性人口的动态。我们表明,在两种情况下,合作者和叛逃者之间可能共存。此外,粘性人口类型的空间聚集很容易导致纯粹的合作。此外,我们分析了主要由叛逃者组成的群体中合作者的入侵。根据分析结果,在确定性系统中,我们发现只有在初始浓度高于由NVD复制器动力学定义的临界阈值的情况下,合作者才能在充分混合的情况下成功入侵。但是,在粘性情况下,不是初始浓度而是初始数量决定入侵的成功。我们证明,即使单个突变合作者也可以高概率入侵,因为聚集的合作者的局部密度超过了游戏定义的阈值。将结果与使用不同收益函数(线性或S形)的模型进行比较,我们表明,收益函数的作用在充分混合的情况下比在粘性情况下更为重要。

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