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Evolution of Cooperation in Public Goods Games with Stochastic Opting-Out

机译:随机退出的公共物品游戏合作的演变

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We study the evolution of cooperation in group interactions where players are randomly drawn from well-mixed populations of finite size to participate in a public goods game. However, due to the possibility of unforeseen circumstances, each player has a fixed probability of being unable to participate in the game, unlike previous models which assume voluntary participation. We first study how prescribed stochastic opting-out affects cooperation in finite populations, and then generalize for the limiting case of large populations. Because we use a pairwise comparison updating rule, our results apply to both genetic and behavioral evolution mechanisms. Moreover, in the model, cooperation is favored by natural selection over both neutral drift and defection if the return on investment exceeds a threshold value depending on the population size, the game size, and a player’s probability of opting-out. Our analysis further shows that, due to the stochastic nature of the opting-out in finite populations, the threshold of return on investment needed for natural selection to favor cooperation is actually greater than the one corresponding to compulsory games with the equal expected game size. We also use adaptive dynamics to study the co-evolution of cooperation and opting-out behavior. Indeed, given rare mutations minutely different from the resident population, an analysis based on adaptive dynamics suggests that over time the population will tend towards complete defection and non-participation, and subsequently cooperators abstaining from the public goods game will stand a chance to emerge by neutral drift, thereby paving the way for the rise of participating cooperators. Nevertheless, increasing the probability of non-participation decreases the rate at which the population tends towards defection when participating. Our work sheds light on understanding how stochastic opting-out emerges in the first place and on its role in the evolution of cooperation.
机译:我们研究了小组互动中合作的演变,在这种互动中,玩家是从有限大小的充分混合的人群中随机抽取来参加公益游戏的。但是,由于发生不可预见的情况,每个玩家都有固定的可能性无法参加游戏,这与以前的模型假定自愿参加的情况不同。我们首先研究规定的随机选择退出对有限人群的合作产生怎样的影响,然后针对大人群的有限情况进行概括。因为我们使用成对比较更新规则,所以我们的结果适用于遗传和行为进化机制。此外,在该模型中,如果投资回报超过阈值(取决于人口规模,游戏规模和玩家退出的可能性),则自然选择有利于合作,而不是中立漂移和叛逃。我们的分析进一步表明,由于有限人口中退出的随机性,自然选择以促进合作所需的投资回报门槛实际上大于对应于期望博弈规模相等的强制博弈的投资回报门槛。我们还使用自适应动力学来研究合作和退出行为的共同进化。确实,鉴于稀有突变与常住人口之间存在微小差异,基于适应性动力学的分析表明,随着时间的流逝,人口将趋向于完全叛逃和不参与,随后放弃公共物品博弈的合作者将有机会出现。中性漂移,从而为参与合作者的崛起铺平了道路。但是,增加不参与的可能性会降低人口参与时趋于叛逃的速度。我们的工作揭示了首先了解随机选择退出的方式及其在合作发展中的作用。

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