Reciprocal Altruism-based Cooperation in a Social Network Game
Masanori Takano, Kazuya Wada, Ichiro Fukuda

TL;DR
This study investigates reciprocal altruism-driven cooperation in social network games, revealing that players maintain cooperative relationships through specific interactions, leading to advantages for cooperators in a less restrictive environment.
Contribution
It demonstrates how reciprocal altruism fosters cooperation in social network games, expanding understanding beyond traditional restrictive experimental settings.
Findings
Players maintain reciprocal cooperative relationships.
Cooperators gain more advantages than noncooperators.
Reciprocal relationships are built on cooperative and unproductive interactions.
Abstract
Cooperative behaviors are common in humans and are fundamental to our society. Theoretical and experimental studies have modeled environments in which the behaviors of humans, or agents, have been restricted to analyze their social behavior. However, it is important that such studies are generalized to less restrictive environments to understand human society. Social network games (SNGs) provide a particularly powerful tool for the quantitative study of human behavior. In SNGs, numerous players can behave more freely than in the environments used in previous studies; moreover, their relationships include apparent conflicts of interest and every action can be recorded. We focused on reciprocal altruism, one of the mechanisms that generate cooperative behavior. This study aims to investigate cooperative behavior based on reciprocal altruism in a less restrictive environment. For this…
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