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相互依存种群的进化动力学

Evolutionary dynamics on interdependent populations.

作者信息

Gómez-Gardeñes Jesús, Gracia-Lázaro Carlos, Floría Luis Mario, Moreno Yamir

机构信息

Departamento de Física de la Materia Condensada, University of Zaragoza, Zaragoza 50009, Spain.

出版信息

Phys Rev E Stat Nonlin Soft Matter Phys. 2012 Nov;86(5 Pt 2):056113. doi: 10.1103/PhysRevE.86.056113. Epub 2012 Nov 26.

Abstract

Although several mechanisms can promote cooperative behavior, there is no general consensus about why cooperation survives when the most profitable action for an individual is to defect, especially when the population is well mixed. Here we show that when a replicator such as evolutionary game dynamics takes place on interdependent networks, cooperative behavior is fixed on the system. Remarkably, we analytically and numerically show that this is even the case for well-mixed populations. Our results open the path to mechanisms able to sustain cooperation and can provide hints for controlling its rise and fall in a variety of biological and social systems.

摘要

尽管有几种机制可以促进合作行为,但对于当个体最有利可图的行为是背叛时合作为何依然存在,尤其是在种群充分混合的情况下,目前尚无普遍共识。在此我们表明,当诸如进化博弈动力学这样的复制者动态在相互依存的网络上发生时,合作行为会在系统中固定下来。值得注意的是,我们通过分析和数值模拟表明,对于充分混合的种群也是如此。我们的结果为能够维持合作的机制开辟了道路,并可为控制其在各种生物和社会系统中的兴衰提供线索。

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