title: Environmentally Driven Migration in a Social Network Game.
abstract: Cooperative behaviors are common in humans, and they are the fundamental basis of our society. Theoretical and experimental studies have modeled environments where the behaviors of humans, or agents, have been restricted to analyze their social behavior. However, it is important that such studies can be generalized to a less restrictive environment in order to understand human society. Social network games (SNGs) provide a powerful tool for the quantitative study of human behavior using a less restrictive environment than in previous studies. We focused on multilevel selection, one of the theoretical frameworks used to study the evolution of cooperation. The evolution of cooperation by multilevel selection requires that the continual assortment between cooperators and noncooperators is generated; thus, humans may have acquired mechanisms that ensure assortment (e.g., migration between groups). This study aims to investigate this mechanism in a less restrictive environment. For this purpose, we researched the effect of migration based on data analysis in an SNG where the players could behave more freely than was possible in the environments used in the previous studies. We showed that players maintained assortment between cooperators and defectors in this SNG, where it appears that environmentally driven migration generated the assortment.
authors.affiliation: CyberAgent, Inc., Chiyoda-ku, Tokyo, Japan.
authors.forename: Masanori
authors.initials: M
authors.lastname: Takano
authors.affiliation: CyberAgent, Inc., Chiyoda-ku, Tokyo, Japan.
authors.forename: Kazuya
authors.initials: K
authors.lastname: Wada
authors.affiliation: CyberAgent, Inc., Chiyoda-ku, Tokyo, Japan.
authors.forename: Ichiro
authors.initials: I
authors.lastname: Fukuda
mesh_terms: D005716:Game Theory; D006801:Humans; D060756:Social Networking