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具有确定性大种群渐近性的进化动力学随机模型。

A stochastic model of evolutionary dynamics with deterministic large-population asymptotics.

作者信息

Simon Burton

机构信息

Department of Mathematical Sciences, University of Colorado Denver, Campus Box 170, P.O. Box 173364, Denver, CO 80217-3364, USA.

出版信息

J Theor Biol. 2008 Oct 21;254(4):719-30. doi: 10.1016/j.jtbi.2008.06.032. Epub 2008 Jul 5.

Abstract

An evolutionary birth-death process is proposed as a model of evolutionary dynamics. Agents residing in a continuous spatial environment X, play a game G, with a continuous strategy set S, against other agents in the environment. The agents' positions and strategies continuously change in response to other agents and to random effects. Agents spawn asexually at rates that depend on their current fitness, and agents die at rates that depend on their local population density. Agents' individual evolutionary trajectories in X and S are governed by a system of stochastic ODEs. When the number of agents is large and distributed in a smooth density on (X,S), the collective dynamics of the entire population is governed by a certain (deterministic) PDE, which we call a fitness-diffusion equation.

摘要

提出了一种进化出生-死亡过程作为进化动力学模型。位于连续空间环境X中的主体,与环境中的其他主体进行具有连续策略集S的博弈G。主体的位置和策略会根据其他主体以及随机效应而不断变化。主体以取决于其当前适应度的速率进行无性繁殖,并且以取决于其局部种群密度的速率死亡。主体在X和S中的个体进化轨迹由一个随机常微分方程组控制。当主体数量众多且在(X,S)上以平滑密度分布时,整个种群的集体动力学由某个(确定性的)偏微分方程控制,我们将其称为适应度扩散方程。

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