Evolutionary game dynamics of the Wright-Fisher process with different selection intensities

IF 2 4区 数学 Q2 BIOLOGY Journal of Theoretical Biology Pub Date : 2019-03-21 DOI:10.1016/j.jtbi.2019.01.006
Wang Xian-jia , Gu Cui-ling , Quan Ji
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引用次数: 10

Abstract

Evolutionary game dynamics in finite populations can be described by a frequency-dependent, stochastic Wright-Fisher process. The fitness of individuals in a population is not only linked to environmental conditions but also tightly coupled to the types and frequencies of competitors, leading to different types of individuals with different selection intensities. We studied a 2 × 2 symmetric game in a finite population and established a dynamic model of the Wright-Fisher process by introducing different selection intensities for different strategies. Thus, we provided another effective way to study the evolutionary dynamics of a finite population and obtained the analytical expressions of fixation probabilities under weak selection. The fixation probability of a strategy is not only related to a game matrix but also to different selection intensities. The conditions required for natural selection to favor one strategy and for that strategy to be an evolutionary stable strategy (ESSN) are specified in our model. We compared our results with those of a Moran dynamic process with different selection intensities to explore these two processes better. In the two processes, the conditions conducive to the strategy's taking fixation are the same. By simulation analysis, the dynamic relationships between the fixation probabilities and selection intensities were intuitively observed in the prisoner's dilemma, coordination, and coexistence games. The fixation probability of the cooperative strategy in the prisoner's dilemma decreases with the increase of its own selection intensity. In the coexistence and coordination games, the fixation probability of the cooperative strategy increases with its own selection intensity. For the three types of games, the fixation probability of the cooperative strategy decreases with the increase of the selection intensity of the defection strategy.

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不同选择强度下Wright-Fisher过程的进化博弈动力学
有限种群中的进化博弈动力学可以用频率相关的随机Wright-Fisher过程来描述。种群中个体的适合度不仅与环境条件有关,而且与竞争对手的类型和频率密切相关,导致不同类型的个体具有不同的选择强度。研究了有限种群中的2 × 2对称博弈,通过引入不同策略的不同选择强度,建立了Wright-Fisher过程的动态模型。从而为研究有限种群的进化动力学提供了另一种有效的方法,并得到了弱选择下固定概率的解析表达式。策略的固定概率不仅与博弈矩阵有关,还与不同的选择强度有关。在我们的模型中,明确了自然选择倾向于一种策略并使该策略成为进化稳定策略(ESSN)所需的条件。为了更好地探索这两个过程,我们将结果与不同选择强度的Moran动态过程的结果进行了比较。在这两个过程中,有利于战略固定的条件是相同的。通过仿真分析,直观地观察了囚徒困境、协调博弈和共存博弈中固定概率与选择强度之间的动态关系。囚徒困境下合作策略的固定概率随其自身选择强度的增大而减小。在共存与协调博弈中,合作策略的固定概率随其自身选择强度的增大而增大。对于三种博弈类型,合作策略的固定概率随着背叛策略选择强度的增加而减小。
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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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