Suppr超能文献

行为多样性的进化后果。

Evolutionary consequences of behavioral diversity.

作者信息

Stewart Alexander J, Parsons Todd L, Plotkin Joshua B

机构信息

Department of Genetics, Environment and Evolution, University College London, London WC1E 6BT, United Kingdom;

Laboratoire de Probabilités et Modèles Aléatoires, CNRS UMR 7599, Université Pierre et Marie Curie, Paris 75005, France.

出版信息

Proc Natl Acad Sci U S A. 2016 Nov 8;113(45):E7003-E7009. doi: 10.1073/pnas.1608990113. Epub 2016 Oct 24.

Abstract

Iterated games provide a framework to describe social interactions among groups of individuals. This body of work has focused primarily on individuals who face a simple binary choice, such as "cooperate" or "defect." Real individuals, however, can exhibit behavioral diversity, varying their input to a social interaction both qualitatively and quantitatively. Here we explore how access to a greater diversity of behavioral choices impacts the evolution of social dynamics in populations. We show that, in public goods games, some simple strategies that choose between only two possible actions can resist invasion by all multichoice invaders, even while engaging in relatively little punishment. More generally, access to a larger repertoire of behavioral choices results in a more "rugged" fitness landscape, with populations able to stabilize cooperation at multiple levels of investment. As a result, increased behavioral choice facilitates cooperation when returns on investments are low, but it hinders cooperation when returns on investments are high. Finally, we analyze iterated rock-paper-scissors games, the nontransitive payoff structure of which means that unilateral control is difficult to achieve. Despite this, we find that a large proportion of multichoice strategies can invade and resist invasion by single-choice strategies-so that even well-mixed populations will tend to evolve and maintain behavioral diversity.

摘要

重复博弈提供了一个框架来描述个体群体之间的社会互动。这一领域的工作主要集中在面临简单二元选择(如“合作”或“背叛”)的个体上。然而,真实的个体可能表现出行为多样性,在社会互动中的投入在质量和数量上都会有所不同。在这里,我们探讨获得更多样化的行为选择如何影响群体中社会动态的演变。我们表明,在公共物品博弈中,一些仅在两种可能行动之间进行选择的简单策略可以抵御所有多选择入侵者的入侵,即使惩罚相对较少。更一般地说,获得更多的行为选择会导致更“崎岖”的适应度景观,群体能够在多个投资水平上稳定合作。因此,当投资回报较低时,增加行为选择有助于合作,但当投资回报较高时,它会阻碍合作。最后,我们分析了重复的石头剪刀布博弈,其非传递性的收益结构意味着难以实现单方面控制。尽管如此,我们发现很大一部分多选择策略可以入侵并抵御单选择策略的入侵,因此即使是充分混合的群体也倾向于进化并维持行为多样性。

相似文献

1
Evolutionary consequences of behavioral diversity.行为多样性的进化后果。
Proc Natl Acad Sci U S A. 2016 Nov 8;113(45):E7003-E7009. doi: 10.1073/pnas.1608990113. Epub 2016 Oct 24.
3
Autocratic strategies for iterated games with arbitrary action spaces.具有任意行动空间的重复博弈的独裁策略。
Proc Natl Acad Sci U S A. 2016 Mar 29;113(13):3573-8. doi: 10.1073/pnas.1520163113. Epub 2016 Mar 14.
4
Replicator dynamics in public goods games with reward funds.带有奖励基金的公共物品博弈中的复制者动态。
J Theor Biol. 2011 Oct 21;287:109-14. doi: 10.1016/j.jtbi.2011.07.026. Epub 2011 Aug 3.
5
Replicator dynamics for optional public good games.可选公共品博弈的复制者动态
J Theor Biol. 2002 Sep 21;218(2):187-94. doi: 10.1006/jtbi.2002.3067.
6
Phase diagrams for the spatial public goods game with pool punishment.具有群体惩罚的空间公共物品博弈的相图。
Phys Rev E Stat Nonlin Soft Matter Phys. 2011 Mar;83(3 Pt 2):036101. doi: 10.1103/PhysRevE.83.036101. Epub 2011 Mar 7.
7
Collapse of cooperation in evolving games.进化博弈中合作的瓦解。
Proc Natl Acad Sci U S A. 2014 Dec 9;111(49):17558-63. doi: 10.1073/pnas.1408618111. Epub 2014 Nov 24.
10

引用本文的文献

1
Unilateral incentive alignment in two-agent stochastic games.双智能体随机博弈中的单边激励对齐
Proc Natl Acad Sci U S A. 2025 Jun 24;122(25):e2319927121. doi: 10.1073/pnas.2319927121. Epub 2025 Jun 16.
3
Mutation enhances cooperation in direct reciprocity.突变增强了直接互惠中的合作。
Proc Natl Acad Sci U S A. 2023 May 16;120(20):e2221080120. doi: 10.1073/pnas.2221080120. Epub 2023 May 8.
4
Group reciprocity and the evolution of stereotyping.群体互惠与刻板印象的演化。
Proc Biol Sci. 2023 Jan 25;290(1991):20221834. doi: 10.1098/rspb.2022.1834. Epub 2023 Jan 18.
6
Indirect reciprocity with private, noisy, and incomplete information.具有私人信息、嘈杂信息和不完全信息的间接互惠。
Proc Natl Acad Sci U S A. 2018 Nov 27;115(48):12241-12246. doi: 10.1073/pnas.1810565115. Epub 2018 Nov 14.
7
Evolutionary dynamics of group formation.群体形成的进化动力学。
PLoS One. 2017 Nov 14;12(11):e0187960. doi: 10.1371/journal.pone.0187960. eCollection 2017.

本文引用的文献

2
Autocratic strategies for iterated games with arbitrary action spaces.具有任意行动空间的重复博弈的独裁策略。
Proc Natl Acad Sci U S A. 2016 Mar 29;113(13):3573-8. doi: 10.1073/pnas.1520163113. Epub 2016 Mar 14.
8
Microbiology: Taking the bad with the good.微生物学:好坏并存。
Nature. 2015 May 28;521(7553):431-2. doi: 10.1038/nature14525.
9
Evolutionary performance of zero-determinant strategies in multiplayer games.多人游戏中零行列式策略的进化性能
J Theor Biol. 2015 Jun 7;374:115-24. doi: 10.1016/j.jtbi.2015.03.032. Epub 2015 Apr 3.
10
The art of war: beyond memory-one strategies in population games.战争的艺术:超越记忆——群体博弈中的一种策略
PLoS One. 2015 Mar 24;10(3):e0120625. doi: 10.1371/journal.pone.0120625. eCollection 2015.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验