Cooperation resonance based on link strategy reinforcement learning and conformity

We propose a game model that integrates reinforcement learning (RL) with link strategies and conformity behavior to investigate the emergence and maintenance of cooperation. The model operates on a lattice network with periodic boundaries and includes two types of nodes: RL nodes with link strategies and conformist nodes. Simulation results reveal a range of critical mass. Within this range, the interaction between these two types of nodes exhibits a nonlinear response between the cooperation rate and the temptation to betray, resulting in the phenomena of resonance-like cooperation and resonance-like defection, showing a nonlinear response between the cooperation rate and the temptation to betray. This study reveals the complex interactions between the two strategies as well as their influence on system behavior through numerical simulations and analysis. Our results provide fresh insights into understanding and promoting cooperative behavior between artificial intelligence and humans.

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Publication Details

Journal
Chaos An Interdisciplinary Journal of Nonlinear Science
Published
2024-12-01
DOI
https://doi.org/10.1063/5.0239335
Citations
4
Primary Topic
Evolutionary Game Theory and Cooperation
Type
article
Field-Weighted Citation Impact
4.53

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article

Cooperation resonance based on link strategy reinforcement learning and conformity

Zhong-Zhou Lan, Xiangfeng Dai, Rongrong Fu, Z.Z. Bai et al.
4 citations
Chaos An Interdisciplinary Journal of Nonlinear Science
Evolutionary Game Theory and Cooperation
4.53
article

Cooperation resonance based on link strategy reinforcement learning and conformity

Zhong-Zhou Lan, Xiangfeng Dai, Rongrong Fu, Z.Z. Bai, Bo Gao, Pengfei Zuo
article en
4 citations

Abstract

We propose a game model that integrates reinforcement learning (RL) with link strategies and conformity behavior to investigate the emergence and maintenance of cooperation. The model operates on a lattice network with periodic boundaries and includes two types of nodes: RL nodes with link strategies and conformist nodes. Simulation results reveal a range of critical mass. Within this range, the interaction between these two types of nodes exhibits a nonlinear response between the cooperation rate and the temptation to betray, resulting in the phenomena of resonance-like cooperation and resonance-like defection, showing a nonlinear response between the cooperation rate and the temptation to betray. This study reveals the complex interactions between the two strategies as well as their influence on system behavior through numerical simulations and analysis. Our results provide fresh insights into understanding and promoting cooperative behavior between artificial intelligence and humans.

Chaos An Interdisciplinary Journal of Nonlinear ScienceVol. 34(12)
North University of China (CN), University of Finance and Economics (MN), China Academy of Information and Communications Technology (CN), Beijing Institute of Graphic Communication (CN)
National Natural Science Foundation of China, Natural Science Foundation of Inner Mongolia, Beijing Institute of Graphic Communication
Partnerships for the goals
Openalex Percentile: Top 5%
Evolutionary Game Theory and Cooperation
4.53
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Cooperation resonance based on link strategy reinforcement learning and conformity — Zhong-Zhou Lan, Xiangfeng Dai, et al. · Chaos An Interdisciplinary Journal of Nonlinear Science (2024) | TGRS Research Map | TGRS