Evolution of cooperation with Q-learning: the impact of information perception
Guozhong Zheng, Zhenwei Ding, Jiqiang Zhang, Shengfeng Deng, Weiran Cai, Li Chen

TL;DR
This paper investigates how different perceptions of information influence the evolution of cooperation in a Prisoner's Dilemma using Q-learning, revealing that information asymmetry significantly affects cooperative dynamics.
Contribution
It introduces an analysis of the impact of information perception on cooperation evolution within a Q-learning framework, highlighting the importance of information structure.
Findings
Asymmetric information leads to complex cooperation dynamics.
Information perception significantly alters cooperation emergence.
Different information scenarios produce distinct evolutionary outcomes.
Abstract
The inherent complexity of human beings manifests in a remarkable diversity of responses to intricate environments, enabling us to approach problems from varied perspectives. However, in the study of cooperation, existing research within the reinforcement learning framework often assumes that individuals have access to identical information when making decisions, which contrasts with the reality that individuals frequently perceive information differently. In this study, we employ the Q-learning algorithm to explore the impact of information perception on the evolution of cooperation in a two-person Prisoner's Dilemma game. We demonstrate that the evolutionary processes differ significantly across three distinct information perception scenarios, highlighting the critical role of information structure in the emergence of cooperation. Notably, the asymmetric information scenario reveals a…
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Taxonomy
TopicsCognitive Science and Mapping
MethodsQ-Learning
