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进化动力学的三分之一定律。

The one-third law of evolutionary dynamics.

作者信息

Ohtsuki Hisashi, Bordalo Pedro, Nowak Martin A

机构信息

Program for Evolutionary Dynamics, Harvard University, Cambridge, MA 02138, USA.

出版信息

J Theor Biol. 2007 Nov 21;249(2):289-95. doi: 10.1016/j.jtbi.2007.07.005. Epub 2007 Jul 18.

DOI:10.1016/j.jtbi.2007.07.005
PMID:17826798
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2430062/
Abstract

Evolutionary game dynamics in finite populations provide a new framework for studying selection of traits with frequency-dependent fitness. Recently, a "one-third law" of evolutionary dynamics has been described, which states that strategy A fixates in a B-population with selective advantage if the fitness of A is greater than that of B when A has a frequency 13. This relationship holds for all evolutionary processes examined so far, from the Moran process to games on graphs. However, the origin of the "number"13 is not understood. In this paper we provide an intuitive explanation by studying the underlying stochastic processes. We find that in one invasion attempt, an individual interacts on average with B-players twice as often as with A-players, which yields the one-third law. We also show that the one-third law implies that the average Malthusian fitness of A is positive.

摘要

有限种群中的进化博弈动力学为研究频率依赖适应度性状的选择提供了一个新框架。最近,已经描述了进化动力学的“三分之一定律”,该定律指出,如果当策略A的频率为1/3时A的适应度大于B的适应度,那么具有选择优势的策略A会在B种群中固定下来。到目前为止,这种关系适用于所研究的所有进化过程,从莫兰过程到图上的博弈。然而,“数字”1/3的由来尚不清楚。在本文中,我们通过研究潜在的随机过程给出了一个直观的解释。我们发现,在一次入侵尝试中,一个个体与B参与者互动的平均频率是与A参与者互动频率的两倍,这就产生了三分之一定律。我们还表明,三分之一定律意味着A的平均马尔萨斯适应度是正的。

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2
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J Theor Biol. 2007 Jun 7;246(3):522-9. doi: 10.1016/j.jtbi.2007.01.002. Epub 2007 Jan 11.
3
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4
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iScience. 2024 Jan 26;27(3):109055. doi: 10.1016/j.isci.2024.109055. eCollection 2024 Mar 15.
5
Understanding evolutionary and ecological dynamics using a continuum limit.利用连续极限理解进化与生态动力学。
Ecol Evol. 2021 May 1;11(11):5857-5873. doi: 10.1002/ece3.7205. eCollection 2021 Jun.
6
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Sci Rep. 2019 May 6;9(1):6946. doi: 10.1038/s41598-019-43102-z.
7
An Economic Model of Human Cooperation Based on Indirect Reciprocity and Its Implication on Environmental Protection.基于间接互惠的人类合作经济模型及其对环境保护的启示。
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8
The limits of weak selection and large population size in evolutionary game theory.进化博弈论中弱选择和大种群规模的局限性。
J Math Biol. 2017 Nov;75(5):1285-1317. doi: 10.1007/s00285-017-1119-4. Epub 2017 Mar 28.
9
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4
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7
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8
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9
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