How L\'evy flights triggered by presence of defectors affect evolution of cooperation in spatial games
Genki Ichinose, Daiki Miyagawa, Erika Chiba, Hiroki Sayama

TL;DR
This study investigates how Levy flight mobility patterns, triggered by neighboring defectors, influence the evolution of cooperation in spatial games, revealing optimal conditions for different sensitivities and population densities.
Contribution
The paper develops an agent-based model to systematically analyze the effects of Levy flight parameters on cooperation, highlighting the role of movement length and defector sensitivity.
Findings
Moderate sensitivity to defectors most promotes cooperation.
Shorter movements favor cooperation at high sensitivity.
Longer movements are better when sensitivity is low.
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 L\'evy flight. A L\'evy flight is a kind of random walk but it is composed of many small movements with a few big movements. The role of L\'evy flights for cooperation has been studied by Antonioni and Tomassini. They showed that L\'evy flights promoted cooperation combined with conditional movements triggered by neighboring defectors. However, the optimal condition for neighboring defectors and how the condition changes by the intensity of L\'evy flights are still unclear. Here, we developed an agent-based model in a square lattice where agents perform L\'evy flights depending on the fraction of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsEvolutionary Game Theory and Cooperation · Diffusion and Search Dynamics · Evolution and Genetic Dynamics
