集体同步演化的建模
Modeling the evolution of collective synchrony
AI总结：
本文结合Kuramoto模型与演化博弈论，研究群体同步中自利型作弊者的存在及其被监管惩罚的机制，为自然种群组成提供可检验预测。
摘要：
动物界中的群体同步通常与交配有关。保持同步很可能具有优势，因为它可能有助于吸引异性。然而也存在不利之处——例如群体的同质化——这使得个体更难脱颖而出。本文针对这一权衡展开研究，将Kuramoto模型与演化博弈论的概念相结合。我们重点关注自利型“作弊者”的存在，这类个体已在多种物种中被广泛研究。在我们的情景中，作弊个体参与同步的群体展示，但将自己（在相位上）定位在略微领先或落后于群体的位置。这使它们既能享受群体广告宣传的收益，又能获得个体独特的收益。但一个群体在仍能实现同步的前提下，只能容忍有限数量的此类个体。因此，我们在模型中引入了一种“监管”机制：如果某个个体偏离群体同步相位过远，它就会暴露自己不诚实并受到惩罚。我们的模型为自然种群组成提供了可检验的预测，并有望推动进一步研究，不仅探讨自然系统如何同步，而且探讨它们为何同步。
英文摘要：
Group synchrony in the animal kingdom is usually associated with mating. Being in sync is likely advantageous, as it may help in luring the opposite sex. Yet there are also disadvantages -- such as the homogenization of the group -- which make it harder for individuals to stand-out. Here we address this tradeoff, bringing together the Kuramoto model with concepts from evolutionary game theory. We focus on the existence of self-interested ''cheaters,'' which have been extensively studied in a variety of species. In our scenario, cheating individuals take part in the synchronous group display but position themselves (in terms of phase) slightly ahead or behind the pack. This allows them to enjoy both the group benefit of advertisement and the individual benefit of being unique. But a group can only tolerate a limited number of such individuals while still achieving synchrony. We therefore incorporate a from of ''policing'' into our model: if an individual strays too far from the group's synchronous phase, they reveal themselves as dishonest and are punished. Our model offers testable predictions regarding natural population compositions, and will hopefully spur further investigation into not only how, but also why, natural systems synchronize.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
