title: Evolution of cooperation in spatial traveler's dilemma game.
abstract: Traveler's dilemma (TD) is one of social dilemmas which has been well studied in the economics community, but it is attracted little attention in the physics community. The TD game is a two-person game. Each player can select an integer value between [Formula: see text] and [Formula: see text] ([Formula: see text]) as a pure strategy. If both of them select the same value, the payoff to them will be that value. If the players select different values, say [Formula: see text] and [Formula: see text] ([Formula: see text]), then the payoff to the player who chooses the small value will be [Formula: see text] and the payoff to the other player will be [Formula: see text]. We term the player who selects a large value as the cooperator, and the one who chooses a small value as the defector. The reason is that if both of them select large values, it will result in a large total payoff. The Nash equilibrium of the TD game is to choose the smallest value [Formula: see text]. However, in previous behavioral studies, players in TD game typically select values that are much larger than [Formula: see text], and the average selected value exhibits an inverse relationship with [Formula: see text]. To explain such anomalous behavior, in this paper, we study the evolution of cooperation in spatial traveler's dilemma game where the players are located on a square lattice and each player plays TD games with his neighbors. Players in our model can adopt their neighbors' strategies following two standard models of spatial game dynamics. Monte-Carlo simulation is applied to our model, and the results show that the cooperation level of the system, which is proportional to the average value of the strategies, decreases with increasing [Formula: see text] until [Formula: see text] is greater than the critical value where cooperation vanishes. Our findings indicate that spatial reciprocity promotes the evolution of cooperation in TD game and the spatial TD game model can interpret the anomalous behavior observed in previous behavioral experiments.
authors.affiliation: Department of Systems Engineering & Engineering Management, The Chinese University of Hong Kong, Sha Tin, N. T., Hong Kong. rhli@se.cuhk.hk.edu
authors.forename: Rong-Hua
authors.initials: RH
authors.lastname: Li
authors.forename: Jeffrey Xu
authors.initials: JX
authors.lastname: Yu
authors.forename: Jiyuan
authors.initials: J
authors.lastname: Lin
mesh_terms: D005075:Biological Evolution; D003299:Cooperative Behavior; D005716:Game Theory; D006801:Humans; D008960:Models, Psychological; D008962:Models, Theoretical; D009010:Monte Carlo Method