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相互依存网络耦合强度的极化促进合作。

The Polarization of the Coupling Strength of Interdependent Networks Stimulates Cooperation.

作者信息

Liu Jinzhuo, Peng Yunchen, Zhu Peican, Yu Yong

机构信息

School of Software, Yunnan University, Kunming 650504, China.

School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi'an 710072, China.

出版信息

Entropy (Basel). 2022 May 14;24(5):694. doi: 10.3390/e24050694.

Abstract

We introduce a mixed network coupling mechanism and study its effects on how cooperation evolves in interdependent networks. This mechanism allows some players (conservative-driven) to establish a fixed-strength coupling, while other players (radical-driven) adjust their coupling strength through the evolution of strategy. By means of numerical simulation, a hump-like relationship between the level of cooperation and conservative participant density is revealed. Interestingly, interspecies interactions stimulate polarization of the coupling strength of radical-driven players, promoting cooperation between two types of players. We thus demonstrate that a simple mixed network coupling mechanism substantially expands the scope of cooperation among structured populations.

摘要

我们引入了一种混合网络耦合机制,并研究了其对相互依存网络中合作如何演变的影响。这种机制允许一些参与者(保守驱动型)建立固定强度的耦合,而其他参与者(激进驱动型)则通过策略演变来调整其耦合强度。通过数值模拟,揭示了合作水平与保守参与者密度之间呈驼峰状关系。有趣的是,种间相互作用刺激了激进驱动型参与者耦合强度的两极分化,促进了两类参与者之间的合作。因此,我们证明了一种简单的混合网络耦合机制极大地扩展了结构化群体之间的合作范围。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59f0/9141804/26e4fa474e31/entropy-24-00694-g001.jpg

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