有限种群在社会困境中的合作进化

IF 1.9 4区 数学 Q2 BIOLOGY
Éloi Martin, Sabin Lessard
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引用次数: 0

摘要

我们研究了在有限种群中的社会困境中合作演化的条件,这些种群中的参与者是由群体创始人和群体内合作与叛逃的一般报酬函数组成的。我们使用不依赖于精确更新规则的大群体规模极限扩散近似法,证明了选择对合作固定概率的一阶影响,当代表一次合作时,可以表示为时间平均报酬与合作者和叛逃者在不同群体状态下直接竞争所花费的有效时间之差。将这一固定概率与其在中立状态下的值以及相应的变节固定概率进行比较,我们可以推导出合作演化的条件。我们的研究表明,在合作的加法收益、协同收益或贴现收益、合作的固定成本和阈值收益函数等多种收益假设条件下,随着分类水平的提高,这些条件一般不会太苛刻。但是,如果成对互动的报酬在群体内是乘法复合的,情况就不一定如此了。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evolution of cooperation in social dilemmas with assortment in finite populations

We investigate conditions for the evolution of cooperation in social dilemmas in finite populations with assortment of players by group founders and general payoff functions for cooperation and defection within groups. Using a diffusion approximation in the limit of a large population size that does not depend on the precise updating rule, we show that the first-order effect of selection on the fixation probability of cooperation when represented once can be expressed as the difference between time-averaged payoffs with respect to effective time that cooperators and defectors spend in direct competition in the different group states. Comparing this fixation probability to its value under neutrality and to the corresponding fixation probability for defection, we deduce conditions for the evolution of cooperation. We show that these conditions are generally less stringent as the level of assortment increases under a wide range of assumptions on the payoffs such as additive, synergetic or discounted benefits for cooperation, fixed cost for cooperation and threshold benefit functions. This is not necessarily the case, however, when payoffs in pairwise interactions are multiplicatively compounded within groups.

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来源期刊
CiteScore
4.20
自引率
5.00%
发文量
218
审稿时长
51 days
期刊介绍: The Journal of Theoretical Biology is the leading forum for theoretical perspectives that give insight into biological processes. It covers a very wide range of topics and is of interest to biologists in many areas of research, including: • Brain and Neuroscience • Cancer Growth and Treatment • Cell Biology • Developmental Biology • Ecology • Evolution • Immunology, • Infectious and non-infectious Diseases, • Mathematical, Computational, Biophysical and Statistical Modeling • Microbiology, Molecular Biology, and Biochemistry • Networks and Complex Systems • Physiology • Pharmacodynamics • Animal Behavior and Game Theory Acceptable papers are those that bear significant importance on the biology per se being presented, and not on the mathematical analysis. Papers that include some data or experimental material bearing on theory will be considered, including those that contain comparative study, statistical data analysis, mathematical proof, computer simulations, experiments, field observations, or even philosophical arguments, which are all methods to support or reject theoretical ideas. However, there should be a concerted effort to make papers intelligible to biologists in the chosen field.
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