The rules of multiplayer cooperation in networks of communities.

IF 3.8 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS PLoS Computational Biology Pub Date : 2024-08-19 eCollection Date: 2024-08-01 DOI:10.1371/journal.pcbi.1012388
Diogo L Pires, Mark Broom
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Abstract

Community organisation permeates both social and biological complex systems. To study its interplay with behaviour emergence, we model mobile structured populations with multiplayer interactions. We derive general analytical methods for evolutionary dynamics under high home fidelity when populations self-organise into networks of asymptotically isolated communities. In this limit, community organisation dominates over the network structure and emerging behaviour is independent of network topology. We obtain the rules of multiplayer cooperation in networks of communities for different types of social dilemmas. The success of cooperation is a result of the benefits shared among communal cooperators outperforming the benefits reaped by defectors in mixed communities. Under weak selection, cooperation can evolve and be stable for any size (Q) and number (M) of communities if the reward-to-cost ratio (V/K) of public goods is higher than a critical value. Community organisation is a solid mechanism for sustaining the evolution of cooperation under public goods dilemmas, particularly when populations are organised into a higher number of smaller communities. Contrary to public goods dilemmas relating to production, the multiplayer Hawk-Dove (HD) dilemma is a commons dilemma focusing on the fair consumption of preexisting resources. This game yields mixed results but tends to favour cooperation under larger communities, highlighting that the two types of social dilemmas might lead to solid differences in the behaviour adopted under community structure.

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社区网络中的多人合作规则。
群落组织贯穿于社会和生物复杂系统。为了研究其与行为出现之间的相互作用,我们建立了具有多人互动的移动结构种群模型。当种群自组织成近似孤立的群落网络时,我们推导出了高家庭保真度下进化动力学的一般分析方法。在这一极限条件下,群落组织比网络结构更重要,新出现的行为与网络拓扑无关。针对不同类型的社会困境,我们获得了社群网络中的多人合作规则。合作的成功是由于在混合群落中,群落合作者之间分享的利益优于叛逃者获得的利益。在弱选择条件下,如果公共产品的回报与成本之比(V/K)高于临界值,那么在任何规模(Q)和数量(M)的社群中,合作都能发展并保持稳定。社群组织是在公共物品困境下维持合作演化的可靠机制,尤其是当种群被组织成数量更多的较小社群时。与与生产有关的公共物品困境相反,多人游戏鹰-鸽(HD)困境是一种公共物品困境,其重点是公平消费已有资源。这个游戏的结果好坏参半,但在较大的群落中更倾向于合作,这说明这两类社会困境可能会导致群落结构下的行为方式存在明显差异。
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来源期刊
PLoS Computational Biology
PLoS Computational Biology BIOCHEMICAL RESEARCH METHODS-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
7.10
自引率
4.70%
发文量
820
审稿时长
2.5 months
期刊介绍: PLOS Computational Biology features works of exceptional significance that further our understanding of living systems at all scales—from molecules and cells, to patient populations and ecosystems—through the application of computational methods. Readers include life and computational scientists, who can take the important findings presented here to the next level of discovery. Research articles must be declared as belonging to a relevant section. More information about the sections can be found in the submission guidelines. Research articles should model aspects of biological systems, demonstrate both methodological and scientific novelty, and provide profound new biological insights. Generally, reliability and significance of biological discovery through computation should be validated and enriched by experimental studies. Inclusion of experimental validation is not required for publication, but should be referenced where possible. Inclusion of experimental validation of a modest biological discovery through computation does not render a manuscript suitable for PLOS Computational Biology. Research articles specifically designated as Methods papers should describe outstanding methods of exceptional importance that have been shown, or have the promise to provide new biological insights. The method must already be widely adopted, or have the promise of wide adoption by a broad community of users. Enhancements to existing published methods will only be considered if those enhancements bring exceptional new capabilities.
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