论文标题
评估进化游戏理论的结构计算
Evaluating the structure-coefficient theorem of evolutionary game theory
论文作者
论文摘要
为了适应一个经验事实,即种群结构很少是简单的,现代的进化动力学研究可以实现复杂且高度的空间结构。结果,最困难的障碍之一在于,对演变的长期结果进行了定性或定量的分析推论。 “结构循环”定理是在弱选择下进行突变选择过程的众所周知的方法,但是缺乏评估其所包含术语的一般方法。在这里,我们使用易于解释的人口统计指标为固定(但任意)大小和结构的种群提供了这种方法。这种方法涵盖了大量进化更新机制,并扩展了定理以允许不对称竞赛,以更好地理解在更现实的情况下对突变选择平衡的理解。我们将方法应用方法来研究在空间异质种群中生产和分布的社会商品,在这种人群中,不对称的相互作用自然出现,而选择的结果则取决于社会善良的性质,空间拓扑,以及突变出现的频率。
In order to accommodate the empirical fact that population structures are rarely simple, modern studies of evolutionary dynamics allow for complicated and highly-heterogeneous spatial structures. As a result, one of the most difficult obstacles lies in making analytical deductions, either qualitative or quantitative, about the long-term outcomes of evolution. The "structure-coefficient" theorem is a well-known approach to this problem for mutation-selection processes under weak selection, but a general method of evaluating the terms it comprises is lacking. Here, we provide such a method for populations of fixed (but arbitrary) size and structure, using easily interpretable demographic measures. This method encompasses a large family of evolutionary update mechanisms and extends the theorem to allow for asymmetric contests to provide a better understanding of the mutation-selection balance under more realistic circumstances. We apply the method to study social goods produced and distributed among individuals in spatially-heterogeneous populations, where asymmetric interactions emerge naturally and the outcome of selection varies dramatically depending on the nature of the social good, the spatial topology, and frequency with which mutations arise.