Frequency-dependent returns in nonlinear public goods games.

IF 3.7 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Journal of The Royal Society Interface Pub Date : 2024-10-01 Epub Date: 2024-10-30 DOI:10.1098/rsif.2024.0334
Christoph Hauert, Alex McAvoy
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Abstract

When individuals interact in groups, the evolution of cooperation is traditionally modelled using the framework of public goods games. These models often assume that the return of the public goods depends linearly on the fraction of contributors. In contrast, in real-life public goods interactions, the return can depend on the size of the investor pool as well. Here, we consider a model in which the multiplication factor (marginal per capita return) for the public goods depends linearly on how many contribute, which results in a nonlinear model of public goods. This simple model breaks the curse of dominant defection found in linear public goods interactions and gives rise to richer dynamical outcomes in evolutionary settings. We provide an in-depth analysis of the more varied decisions by the classical rational player in nonlinear public goods interactions as well as a mechanistic, microscopic derivation of the evolutionary outcomes for the stochastic dynamics in finite populations and in the deterministic limit of infinite populations. This kind of nonlinearity provides a natural way to model public goods with diminishing returns as well as economies of scale.

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非线性公共产品博弈中依赖频率的回报。
当个人在群体中互动时,合作的演变传统上是通过公共物品博弈的框架来模拟的。这些模型通常假定,公共物品的回报与出资者的比例成线性关系。与此相反,在现实生活中的公共物品互动中,回报也可能取决于投资者群体的规模。在这里,我们考虑了一个模型,在这个模型中,公共产品的乘数系数(边际人均回报率)与出资人数呈线性关系,这就形成了一个非线性的公共产品模型。这种简单的模型打破了线性公共物品互动中的主导变节诅咒,在演化环境中产生了更丰富的动态结果。我们深入分析了非线性公共物品互动中经典理性参与者的各种决策,并从机制上微观推导了有限种群和无限种群确定性极限中随机动力学的进化结果。这种非线性为模拟收益递减和规模经济的公共产品提供了一种自然的方法。
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来源期刊
Journal of The Royal Society Interface
Journal of The Royal Society Interface 综合性期刊-综合性期刊
CiteScore
7.10
自引率
2.60%
发文量
234
审稿时长
2.5 months
期刊介绍: J. R. Soc. Interface welcomes articles of high quality research at the interface of the physical and life sciences. It provides a high-quality forum to publish rapidly and interact across this boundary in two main ways: J. R. Soc. Interface publishes research applying chemistry, engineering, materials science, mathematics and physics to the biological and medical sciences; it also highlights discoveries in the life sciences of relevance to the physical sciences. Both sides of the interface are considered equally and it is one of the only journals to cover this exciting new territory. J. R. Soc. Interface welcomes contributions on a diverse range of topics, including but not limited to; biocomplexity, bioengineering, bioinformatics, biomaterials, biomechanics, bionanoscience, biophysics, chemical biology, computer science (as applied to the life sciences), medical physics, synthetic biology, systems biology, theoretical biology and tissue engineering.
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