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Evolutionary dynamics in structured populations

机译:结构化种群的进化动力学

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摘要

Evolutionary dynamics shape the living world around us. At the centre of every evolutionary process is a population of reproducing individuals. The structure of that population affects evolutionary dynamics. The individuals can be molecules, cells, viruses, multicellular organisms or humans. Whenever the fitness of individuals depends on the relative abundance of phenotypes in the population, we are in the realm of evolutionary game theory. Evolutionary game theory is a general approach that can describe the competition of species in an ecosystem, the interaction between hosts and parasites, between viruses and cells, and also the spread of ideas and behaviours in the human population. In this perspective, we review the recent advances in evolutionary game dynamics with a particular emphasis on stochastic approaches in finite sized and structured populations. We give simple, fundamental laws that determine how natural selection chooses between competing strategies. We study the well-mixed population, evolutionary graph theory, games in phenotype space and evolutionary set theory. We apply these results to the evolution of cooperation. The mechanism that leads to the evolution of cooperation in these settings could be called ‘spatial selection’: cooperators prevail against defectors by clustering in physical or other spaces.
机译:进化动力学塑造了我们周围的生活世界。每个进化过程的中心都是繁殖个体。该种群的结构影响进化动力学。个体可以是分子,细胞,病毒,多细胞生物或人类。每当个体的适应度取决于群体中表型的相对丰富度时,我们就处于进化博弈论的领域。进化博弈论是一种通用方法,可以描述生态系统中物种的竞争,宿主与寄生虫之间的相互作用,病毒与细胞之间的相互作用以及思想和行为在人类中的传播。从这个角度出发,我们回顾了演化博弈动力学的最新进展,特别强调了有限规模和结构化种群中的随机方法。我们给出简单的基本定律,这些定律决定了自然选择如何在竞争策略之间进行选择。我们研究了充分混合的种群,进化图论,表型空间中的博弈和进化集理论。我们将这些结果应用于合作的发展。导致这些环境中合作发展的机制可以称为“空间选择”:合作者通过聚集在物理空间或其他空间中来对抗叛逃者。

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