合作可以在当地环境的共同演变中产生

IF 3.5 2区 数学 Q1 MATHEMATICS, APPLIED
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引用次数: 0

摘要

解释合作的出现是一个具有挑战性的问题。最近,有关生态进化博弈的研究将人类行为与环境反馈相结合,证明了合作与环境的共同进化表现出丰富的动态性,从而引起了广泛关注。在这项工作中,我们旨在通过探索包含空间因素的环境演化来扩展环境反馈理论。我们的模型考虑了局部环境的背景,即个体的环境只受其自身及其邻居的影响,环境只影响其参与的博弈互动的结果。通过蒙特卡洛模拟,我们的结果表明,合作可以在局部环境的共同演化过程中出现,并且在环境最大可能退化程度较高的情况下可以更有效地促进合作。我们特别发现,合作集群中外围个体的环境退化会降低叛逃者的收益,从而成为保护集群免受叛逃者侵害的盾牌。然而,在一个更容易恢复的环境中,这种保护作用会减弱,从而让搭便车者有机可乘。我们的研究阐明了局部环境中的共同进化过程,并强调了环境反馈在合作进化中的关键作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cooperation can emerge in the co-evolution of the local environments

Explaining the emergence of cooperation is a challenging issue. Recently, research on ecological evolutionary games has combined human behavior with environmental feedback, demonstrating that the co-evolution of cooperation and the environment exhibits rich dynamics, thereby attracting widespread attention. In this work, we aim to extend the theory of environmental feedback by exploring environmental evolution that incorporates spatial factors. Our model considers the context of a local environment, where an individual's environment is influenced only by herself and her neighbors, and the environment affects only the outcome of the game interactions in which she participates. By means of Monte Carlo simulations, our results suggest that cooperation can emerge in the co-evolution of local environments and can be facilitated more effectively with a higher degree of maximum possible environmental degradation. In particular, we discovered that environmental degradation of peripheral individuals in cooperative clusters reduces the profits of defectors, acting as a shield to protect clusters from defectors. However, in a more easily recoverable environment, this protective effect weakens, allowing free-riders to take advantage. Our research elucidates the co-evolutionary process within local environments and emphasizes the crucial role of environmental feedback in the evolution of cooperation.

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来源期刊
CiteScore
7.90
自引率
10.00%
发文量
755
审稿时长
36 days
期刊介绍: Applied Mathematics and Computation addresses work at the interface between applied mathematics, numerical computation, and applications of systems – oriented ideas to the physical, biological, social, and behavioral sciences, and emphasizes papers of a computational nature focusing on new algorithms, their analysis and numerical results. In addition to presenting research papers, Applied Mathematics and Computation publishes review articles and single–topics issues.
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