Explaining human cooperation through a dual mechanism of individual and social learning
Zhihao Hou, Zhikun She, Quanyi Liang, Qi Su, and Daqing Li

TL;DR
This paper models human cooperation on social networks by integrating individual and social learning mechanisms, revealing how exploration and payoff-based decision-making influence cooperation dynamics and explain previously contradictory phenomena.
Contribution
It formalizes human exploration as a trial-and-reflection learning process and demonstrates its impact on cooperation, highlighting the conditions under which individual learning surpasses social learning.
Findings
Individual learning can modify neighbor imitation tendencies.
Coupled dynamics influence cooperation based on payoff focus.
Negative correlation between exploration and payoffs promotes cooperation.
Abstract
Cooperation on social networks is crucial for understanding human survival and development. Although network structure has been found to significantly influence cooperation, human experiments have observed different cooperation phenomena under similar conditions. While evidence suggests that these differences arise from human exploration, our understanding of its impact mechanisms and characteristics remains limited. Here, we seek to formalize human exploration as an individual learning process involving trial and reflection, and integrate social learning to examine how their interdependence shapes cooperation. We find that individual learning can alter neighbor imitation tendencies, and the resulting shifts in the local cooperative environment feed back into the experiential cognition that guides individual learning. This coupled dynamic makes the ability of social networks to promote…
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