Emergence of cooperation in a population with bimodal response behaviors
Lin Ma, Jiqiang Zhang, Guozhong Zheng, Rizhou Liang, and Li Chen

TL;DR
This study investigates how bimodal response behaviors, specifically Fermi and Tit-for-tat strategies, influence the evolution of cooperation in populations, revealing that behavioral diversity can significantly promote cooperative outcomes.
Contribution
The paper introduces a model combining Fermi and Tit-for-tat updating rules to show how behavioral multimodality enhances cooperation in structured and probabilistic mixing scenarios.
Findings
Moderate mixture of response modes boosts cooperation.
Probabilistic mixing leads to widespread full cooperation.
Robustness of results across different population topologies.
Abstract
We human beings show remarkable adaptability in response to complex surroundings, we adopt different behavioral modes at different occasions, such response multimodality is critical to our survival. Yet, how this behavioral multimodality affects the evolution of cooperation remains largely unknown. Here we build a toy model to address this issue by considering a population with bimodal response behaviors, or specifically, with the Fermi and Tit-for-tat updating rules. While the former rule tends to imitate the strategies of those neighbors who are doing well, the latter repeats what their neighbors did to them. In a structural mixing implementation, where the updating rule is fixed for each individual, we find that a moderate mode mixture unexpectedly boosts the overall cooperation level of the population. The boost is even more pronounced in the probabilistic mixing, where each…
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Taxonomy
TopicsEvolutionary Game Theory and Cooperation · Opinion Dynamics and Social Influence · Plant and animal studies
