Steady-State and Dynamical Behavior of a PDE Model of Multilevel Selection with Pairwise Group-Level Competition.

IF 2 4区 数学 Q2 BIOLOGY
Konstantinos Alexiou, Daniel B Cooney
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引用次数: 0

Abstract

Evolutionary competition often occurs simultaneously at multiple levels of organization, in which traits or behaviors that are costly for an individual can provide collective benefits to groups to which the individual belongs. Building off of recent work that has used ideas from game theory to study evolutionary competition within and among groups, we study a PDE model for multilevel selection that considers group-level evolutionary dynamics through a pairwise conflict depending on the strategic composition of the competing groups. This model allows for incorporation of group-level frequency dependence, facilitating the exploration for how the form of probabilities for victory in a group-level conflict can impact the long-time support for cooperation via multilevel selection. We characterize well-posedness properties for measure-valued solutions of our PDE model and apply these properties to show that the population will converge to a delta-function at the all-defector equilibrium when between-group selection is sufficiently weak. We further provide necessary conditions for the existence of bounded steady state densities for the multilevel dynamics of Prisoners' Dilemma and Hawk-Dove scenarios, using a mix of analytical and numerical techniques to characterize the relative strength of between-group selection required to ensure the long-time survival of cooperation via multilevel selection. We also see that the average payoff at steady state appears to be limited by the average payoff of the all-cooperator group, even for games in which groups achieve maximal average payoff at intermediate levels of cooperation, generalizing behavior that has previously been observed in PDE models of multilevel selection with frequency-independent group-level competition.

具有两两群体水平竞争的多水平选择PDE模型的稳态和动态行为。
进化竞争常常同时发生在组织的多个层面上,对个体来说代价高昂的特征或行为可以为个体所属的群体带来集体利益。基于最近使用博弈论的思想来研究群体内部和群体之间的进化竞争的工作,我们研究了一个多层次选择的PDE模型,该模型通过依赖于竞争群体的战略组成的成对冲突来考虑群体层面的进化动力学。该模型考虑了群体层面的频率依赖关系,有助于探索群体层面冲突中获胜概率的形式如何通过多层次选择影响对合作的长期支持。我们描述了PDE模型的测量值解的适定性,并应用这些性质证明了当群间选择足够弱时,种群将收敛于全突变均衡处的δ函数。我们进一步提供了囚犯困境和鹰鸽情景多层次动态的有界稳态密度存在的必要条件,使用分析和数值技术的混合来表征群体间选择的相对强度,以确保通过多层次选择的长期合作生存。我们还看到,稳定状态下的平均收益似乎受到所有合作群体的平均收益的限制,即使是在群体在中等合作水平上获得最大平均收益的游戏中,也推广了之前在具有频率无关的群体水平竞争的多层次选择的PDE模型中观察到的行为。
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来源期刊
CiteScore
3.90
自引率
8.60%
发文量
123
审稿时长
7.5 months
期刊介绍: The Bulletin of Mathematical Biology, the official journal of the Society for Mathematical Biology, disseminates original research findings and other information relevant to the interface of biology and the mathematical sciences. Contributions should have relevance to both fields. In order to accommodate the broad scope of new developments, the journal accepts a variety of contributions, including: Original research articles focused on new biological insights gained with the help of tools from the mathematical sciences or new mathematical tools and methods with demonstrated applicability to biological investigations Research in mathematical biology education Reviews Commentaries Perspectives, and contributions that discuss issues important to the profession All contributions are peer-reviewed.
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