Effects of non-uniform number of actions by Hawkes process on spatial cooperation
Daiki Miyagawa, Genki Ichinose

TL;DR
This study uses multi-agent simulations to explore how non-uniform action frequencies, especially self-triggered actions, influence the evolution of cooperation, revealing that slight non-uniformity and self-driven actions promote cooperative behavior.
Contribution
It introduces a novel simulation model with chain-reaction rules to analyze the impact of non-uniform action frequencies on cooperation evolution.
Findings
Non-uniform action frequency enhances cooperation.
Self-triggered actions support cooperation more effectively.
Following others' actions can hinder cooperative evolution.
Abstract
The emergence of cooperative behavior, despite natural selection favoring rational self-interest, presents a significant evolutionary puzzle. Evolutionary game theory elucidates why cooperative behavior can be advantageous for survival. However, the impact of non-uniformity in the frequency of actions, particularly when actions are altered in the short term, has received little scholarly attention. To demonstrate the relationship between the non-uniformity in the frequency of actions and the evolution of cooperation, we conducted multi-agent simulations of evolutionary games. In our model, each agent performs actions in a chain-reaction, resulting in a non-uniform distribution of the number of actions. To achieve a variety of non-uniform action frequency, we introduced two types of chain-reaction rules: one where an agent's actions trigger subsequent actions, and another where an…
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Taxonomy
TopicsPoint processes and geometric inequalities · Diffusion and Search Dynamics
