Information-based matching explains the diversity of cooperation among different populations
Xiaoming Gong (Shanghai University of Finance, Economics, Shanghai,, China)

TL;DR
This paper presents a model where information dissemination costs and cognitive abilities influence partnership formation, explaining the variation in cooperation levels across populations through simulations.
Contribution
It introduces a bilateral matching mechanism incorporating information constraints, offering a novel explanation for cooperation diversity among populations.
Findings
Lower dissemination costs lead to higher cooperation levels.
Better cognition of information increases cooperation.
Greater cognitive deviations reduce overall cooperation density.
Abstract
This paper introduces a bilateral matching mechanism to explain why different populations have different levels of cooperation. The traditional game theory assumes that individuals can acquire their neighbor's information without cost after generating information. In fact, the environment and cognition of populations often limit the magnitude of information received by individuals. Our model divides information dynamics into two processes: generation and dissemination. After generating, information starts to disseminate in the population. Individuals match and interact with each other based on the information received and then confirm partnerships, which differs from traditional research's unilateral partner selection process. Specifically, we find a function to simulate two constraints of information acquisition in different populations: information dissemination cost and cognition…
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Taxonomy
TopicsEvolutionary Game Theory and Cooperation · Experimental Behavioral Economics Studies · Game Theory and Applications
