Evolutionary Dynamics with Randomly Distributed Benevolent Individuals

Fuente: arXiv
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Autori principali: Geng, Yuxin, Chen, Xingru
Natura: Preprint
Pubblicazione: 2023
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author Geng, Yuxin
Chen, Xingru
author_facet Geng, Yuxin
Chen, Xingru
contents Understanding the evolution of cooperation is pivotal in biology and social science. Public resources sharing is a common scenario in the real world. In our study, we explore the evolutionary dynamics of cooperation on a regular graph with degree $k$, introducing the presence of a third strategy, namely the benevolence, who does not evolve over time, but provides a fixed benefit to all its neighbors. We find that the presence of the benevolence can foster the development of cooperative behavior and it follows a simple rule: $b/c > k - p_S(k-1)$. Our results provide new insights into the evolution of cooperation in structured populations.
format Preprint
id arxiv_https___arxiv_org_abs_2401_00214
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Evolutionary Dynamics with Randomly Distributed Benevolent Individuals
Geng, Yuxin
Chen, Xingru
Populations and Evolution
Physics and Society
Understanding the evolution of cooperation is pivotal in biology and social science. Public resources sharing is a common scenario in the real world. In our study, we explore the evolutionary dynamics of cooperation on a regular graph with degree $k$, introducing the presence of a third strategy, namely the benevolence, who does not evolve over time, but provides a fixed benefit to all its neighbors. We find that the presence of the benevolence can foster the development of cooperative behavior and it follows a simple rule: $b/c > k - p_S(k-1)$. Our results provide new insights into the evolution of cooperation in structured populations.
title Evolutionary Dynamics with Randomly Distributed Benevolent Individuals
topic Populations and Evolution
Physics and Society
url https://arxiv.org/abs/2401.00214