# A co-evolutionary model combined mixed-strategy and network adaptation by severing disassortative neighbors promotes cooperation in prisoner's dilemma games

Kohei Miyaji, Jun Tanimoto

2 被引用数 (Scopus)

## 抄録

A co-evolutionary model of both network and mixed strategy is proposed in this study. The assigned strategy si of agent i is defined by a real number ranging from 0 to 1, which probabilistically ordains a subsequent action of either cooperation or defection as the agent's offer. We assume a network dynamic to support or hamper the enhancement of cooperation, where an agent severs a link with the neighbor who has the most disassortative strategy. This means that an agent tends to maintain interactions only with neighbors that resemble the agent. A series of numerical simulations reveal that our “assortative grouping” framework enhances cooperation. Interestingly, when a low network adaptation speed and a certain degree of strategy copy error are presumed, phenomenal network heterogeneity evolves, one that realizes more significant cooperation as compared to error-free cases.

本文言語 英語 110603 Chaos, solitons and fractals 143 https://doi.org/10.1016/j.chaos.2020.110603 出版済み - 2月 2021

## All Science Journal Classification (ASJC) codes

• 統計物理学および非線形物理学
• 数学 (全般)
• 物理学および天文学（全般）
• 応用数学

## フィンガープリント

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