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在有限种群中,选择退出策略对有利于合作进化的选择条件的影响。

The effect of the opting-out strategy on conditions for selection to favor the evolution of cooperation in a finite population.

作者信息

Li Cong, Lessard Sabin

机构信息

Département de mathématiques et de statistique, Université de Montréal, Montréal, Québec, Canada.

Département de mathématiques et de statistique, Université de Montréal, Montréal, Québec, Canada.

出版信息

J Theor Biol. 2021 Feb 7;510:110543. doi: 10.1016/j.jtbi.2020.110543. Epub 2020 Nov 19.

DOI:10.1016/j.jtbi.2020.110543
PMID:33221279
Abstract

We consider a Prisoner's Dilemma (PD) that is repeated with some probability 1-ρ only between cooperators as a result of an opting-out strategy adopted by all individuals. The population is made of N pairs of individuals and is updated at every time step by a birth-death event according to a Moran model. Assuming an intensity of selection of order 1/N and taking 2N birth-death events as unit of time, a diffusion approximation exhibiting two time scales, a fast one for pair frequencies and a slow one for cooperation (C) and defection (D) frequencies, is ascertained in the limit of a large population size. This diffusion approximation is applied to an additive PD game, cooperation by an individual incurring a cost c to the individual but providing a benefit b to the opponent. This is used to obtain the probability of ultimate fixation of C introduced as a single mutant in an all D population under selection, which can be compared to the probability under neutrality, 1/(2N), as well as the corresponding probability for a single D introduced in an all C population under selection. This gives conditions for cooperation to be favored by selection. We show that these conditions are satisfied when the benefit-to-cost ratio, b/c, exceeds some increasing function of ρ that is approximately given by (1+ρ)/(1-ρ). This condition is more stringent, however, than the condition for tit-for-tat (TFT) to be favored against always-defect (AllD) in the absence of opting-out.

摘要

我们考虑一种囚徒困境(PD),由于所有个体采用退出策略,只有合作者之间以概率1 - ρ重复进行。种群由N对个体组成,并根据莫兰模型在每个时间步通过生死事件进行更新。假设选择强度为1/N量级,并以2N次生死事件为时间单位,在种群规模很大的极限情况下,确定了一种具有两个时间尺度的扩散近似,一个是用于对频率的快速时间尺度,另一个是用于合作(C)和背叛(D)频率的慢速时间尺度。这种扩散近似应用于一个加性PD博弈,个体进行合作会给自己带来成本c,但给对手带来收益b。这用于获得在选择下作为单个突变体引入全D种群中的C最终固定的概率,可与中性情况下的概率1/(2N)进行比较,以及在选择下作为单个D引入全C种群中的相应概率。这给出了合作受选择青睐的条件。我们表明,当收益成本比b/c超过ρ的某个递增函数时,这些条件得到满足,该函数近似由(1 + ρ)/(1 - ρ)给出。然而,这个条件比在没有退出的情况下针锋相对(TFT)优于始终背叛(AllD)的条件更为严格。

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