Modeling the evolution of collective synchrony

Fuente: arXiv
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Autori principali: Amichay, Guy, Gong, Ruoming, Abrams, Daniel M.
Natura: Preprint
Pubblicazione: 2025
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author Amichay, Guy
Gong, Ruoming
Abrams, Daniel M.
author_facet Amichay, Guy
Gong, Ruoming
Abrams, Daniel M.
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2508_20006
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Modeling the evolution of collective synchrony
Amichay, Guy
Gong, Ruoming
Abrams, Daniel M.
Populations and Evolution
Adaptation and Self-Organizing Systems
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.
title Modeling the evolution of collective synchrony
topic Populations and Evolution
Adaptation and Self-Organizing Systems
url https://arxiv.org/abs/2508.20006