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Mobility can promote the evolution of cooperation via emergent self-assortment dynamics

机译:流动性可以通过新兴的自我分配动力促进合作的发展

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摘要

The evolution of costly cooperation, where cooperators pay a personal cost to benefit others, requires that cooperators interact more frequently with other cooperators. This condition, called positive assortment, is known to occur in spatially-structured viscous populations, where individuals typically have low mobility and limited dispersal. However many social organisms across taxa, from cells and bacteria, to birds, fish and ungulates, are mobile, and live in populations with considerable inter-group mixing. In the absence of information regarding others’ traits or conditional strategies, such mixing may inhibit assortment and limit the potential for cooperation to evolve. Here we employ spatially-explicit individual-based evolutionary simulations to incorporate costs and benefits of two coevolving costly traits: cooperative and local cohesive tendencies. We demonstrate that, despite possessing no information about others’ traits or payoffs, mobility (via self-propulsion or environmental forcing) facilitates assortment of cooperators via a dynamically evolving difference in the cohesive tendencies of cooperators and defectors. We show analytically that this assortment can also be viewed in a multilevel selection framework, where selection for cooperation among emergent groups can overcome selection against cooperators within the groups. As a result of these dynamics, we find an oscillatory pattern of cooperation and defection that maintains cooperation even in the absence of well known mechanisms such as kin interactions, reciprocity, local dispersal or conditional strategies that require information on others’ strategies or payoffs. Our results offer insights into differential adhesion based mechanisms for positive assortment and reveal the possibility of cooperative aggregations in dynamic fission-fusion populations.
机译:成本高昂的合作的演变(合作者付出个人成本以使他人受益)要求合作者与其他合作者进行更频繁的互动。这种情况称为正向分类,已知发生在空间结构的粘性种群中,在这些种群中,个体通常活动能力低,分散性有限。然而,从细胞和细菌到鸟类,鱼类和有蹄类动物,整个分类单元中的许多社会有机体都是可移动的,它们生活在群体之间混合程度很高的人群中。在缺乏有关其他人的特征或条件策略的信息的情况下,这种混合可能会抑制分类并限制合作发展的潜力。在这里,我们采用基于空间的基于个体的进化模拟,以结合两个共同发展的代价高昂特征的成本和收益:合作和局部凝聚趋向。我们证明,尽管没有关于他人特质或回报的信息,但流动性(通过自我推进或环境强迫)通过合作者和叛逃者的凝聚力趋势的动态变化促进了合作者的分类。我们通过分析显示,也可以在多级选择框架中查看此分类,在该框架中,针对新兴群体之间的合作进行的选择可以克服针对群体内合作者的选择。这些动态的结果是,我们发现了一种合作与叛逃的振荡模式,即使在没有众所周知的机制(例如亲属互动,互惠,局部分散或有条件的战略)中也需要保持合作关系的情况下,这种战略需要有关他人的战略或收益的信息。我们的结果提供了洞察力,为正向分类提供了基于差异粘附的机制,并揭示了在动态裂变融合种群中合作聚集的可能性。

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