环境随机波动对模仿动力学进化稳定性的影响。

IF 2.2 3区 物理与天体物理 Q2 PHYSICS, FLUIDS & PLASMAS
Si-Yi Wang, Yan-Min Che, Yi Tao, Xiu-Deng Zheng
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引用次数: 0

摘要

为了说明环境噪声对模仿动力学的影响,本文研究了具有随机报酬的离散时间模仿动力学的随机稳定性和随机演化稳定性。基于双表型模型中固定态和恒定内部均衡的随机局部稳定性,我们将随机演化稳定性的概念扩展到随机模仿动力学,即如果种群中的所有成员都采用一种策略,那么在自然选择的影响下,任何突变策略成功入侵种群的概率都是任意低的。我们的主要结果清楚地表明,系统的随机演化稳定性只取决于随机报酬矩阵均值矩阵的特性,而与随机报酬矩阵的随机性无关。此外,作为两个例子,我们还证明了在随机模仿动力学框架下,噪声强度会影响随机囚徒困境博弈中合作行为的演化以及系统的非线性动态行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impact of environmental stochastic fluctuations on the evolutionary stability of imitation dynamics.

To show the impact of environmental noise on imitation dynamics, the stochastic stability and stochastic evolutionary stability of a discrete-time imitation dynamics with random payoffs are studied in this paper. Based on the stochastic local stability of fixation states and constant interior equilibria in a two-phenotype model, we extend the concept of stochastic evolutionary stability to the stochastic imitation dynamics, which is defined as a strategy such that, if all the members of the population adopt it, then the probability for any mutant strategy to invade the population successfully under the influence of natural selection is arbitrarily low. Our main results show clearly that the stochastic evolutionary stability of the system depends only on the properties of the mean matrix of the random payoff matrix and is independent of the randomness of the random payoff matrix. Moreover, as two examples, we show also that under the framework of stochastic imitation dynamics, the noise intensity affects the evolution of cooperative behavior in a stochastic prisoner's dilemma game and the system's nonlinear dynamic behavior.

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来源期刊
Physical Review E
Physical Review E PHYSICS, FLUIDS & PLASMASPHYSICS, MATHEMAT-PHYSICS, MATHEMATICAL
CiteScore
4.50
自引率
16.70%
发文量
2110
期刊介绍: Physical Review E (PRE), broad and interdisciplinary in scope, focuses on collective phenomena of many-body systems, with statistical physics and nonlinear dynamics as the central themes of the journal. Physical Review E publishes recent developments in biological and soft matter physics including granular materials, colloids, complex fluids, liquid crystals, and polymers. The journal covers fluid dynamics and plasma physics and includes sections on computational and interdisciplinary physics, for example, complex networks.
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