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缺陷者的存在引发的 Levy 飞行如何影响空间博弈中合作的进化。

How Lévy Flights Triggered by the Presence of Defectors Affect Evolution of Cooperation in Spatial Games.

机构信息

Shizuoka University, Department of Mathematical and Systems Engineering.

Nagoya University, Graduate School of Informatics.

出版信息

Artif Life. 2023 May 1;29(2):187-197. doi: 10.1162/artl_a_00382.

Abstract

Cooperation among individuals has been key to sustaining societies. However, natural selection favors defection over cooperation. Cooperation can be favored when the mobility of individuals allows cooperators to form a cluster (or group). Mobility patterns of animals sometimes follow a Lévy flight. A Lévy flight is a kind of random walk but it is composed of many small movements with a few big movements. The role of Lévy flights for cooperation has been studied by Antonioni and Tomassini, who showed that Lévy flights promoted cooperation combined with conditional movements triggered by neighboring defectors. However, the optimal condition for neighboring defectors and how the condition changes with the intensity of Lévy flights are still unclear. Here, we developed an agent-based model in a square lattice where agents perform Lévy flights depending on the fraction of neighboring defectors. We systematically studied the relationships among three factors for cooperation: sensitivity to defectors, the intensity of Lévy flights, and population density. Results of evolutionary simulations showed that moderate sensitivity most promoted cooperation. Then, we found that the shortest movements were best for cooperation when the sensitivity to defectors was high. In contrast, when the sensitivity was low, longer movements were best for cooperation. Thus, Lévy flights, the balance between short and long jumps, promoted cooperation in any sensitivity, which was confirmed by evolutionary simulations. Finally, as the population density became larger, higher sensitivity was more beneficial for cooperation to evolve. Our study highlights that Lévy flights are an optimal searching strategy not only for foraging but also for constructing cooperative relationships with others.

摘要

个体之间的合作对于维持社会至关重要。然而,自然选择更倾向于背叛而不是合作。当个体的流动性允许合作者形成一个集群(或群体)时,合作就会受到青睐。动物的移动模式有时遵循 Lévy 飞行。 Lévy 飞行是一种随机漫步,但它由许多小的运动和少数大的运动组成。Antonioni 和 Tomassini 研究了 Lévy 飞行对合作的作用,他们表明 Lévy 飞行促进了合作,同时结合了由邻近背叛者触发的条件运动。然而,邻近背叛者的最佳条件以及该条件如何随 Lévy 飞行的强度而变化仍然不清楚。在这里,我们在正方形晶格上开发了一个基于代理的模型,其中代理根据邻近背叛者的分数执行 Lévy 飞行。我们系统地研究了合作的三个因素之间的关系:对背叛者的敏感性、 Lévy 飞行的强度和种群密度。进化模拟的结果表明,适度的敏感性最能促进合作。然后,我们发现当对背叛者的敏感性较高时,最短的运动最有利于合作。相反,当敏感性较低时,较长的运动最有利于合作。因此, Lévy 飞行,即短跳和长跳之间的平衡,促进了任何敏感性下的合作,这通过进化模拟得到了证实。最后,随着种群密度的增大,更高的敏感性更有利于合作的进化。我们的研究强调, Lévy 飞行不仅是觅食的最佳搜索策略,也是与他人建立合作关系的最佳搜索策略。

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