title: Evolutionary dynamics of synergistic and discounted group interactions in structured populations.
abstract: The emergence of cooperation between unrelated individuals enables researchers to study how the collective cooperative behavior survives in a world where egoists could get more short-term benefits. The spatial multi-player games, which invoke interactions between individuals who are not directly linked by the interactive networks, are drawing more and more attention in exploring the evolution of cooperation. Here we address the evolutionary dynamics in infinite structured populations with discounted, linear, and synergistic group interactions. The five classical scenarios are recovered from the dynamics: (i) dominating defection, (ii) dominating cooperation, (iii) co-existence, (iv) bi-stability, and (v) neutral variants. For linear interactions, the evolutionary dynamics is equivalent to that in finite as well as the well-mixed counterparts, which can be achieved by a payoff matrix transformation, and it illustrates that the more neighbors there are, the harder the cooperators survive. Yet both cooperation and defection emerge easier in finite populations than in infinite for discounted and synergistic interactions. Counterintuitively, we find that the synergistic group interactions always raise cooperators׳ barriers to occupy the population with the increase of the number of neighbors in infinite structured populations. Our results go against the common belief that synergistic interactions are necessarily beneficial for the cooperative behavior.
authors.affiliation: Center for Systems and Control, College of Engineering, Peking University, Beijing 100871, China; Center for Complex Network Research and Department of Physics, Northeastern University, Boston, MA 02115, USA. Electronic address: amingli2011@gmail.com.
authors.forename: Aming
authors.initials: A
authors.lastname: Li
authors.affiliation: Center for Systems and Control, College of Engineering, Peking University, Beijing 100871, China. Electronic address: longwang@pku.edu.cn.
authors.forename: Long
authors.initials: L
authors.lastname: Wang
mesh_terms: D000818:Animals; D005075:Biological Evolution; D003299:Cooperative Behavior; D005716:Game Theory; D006126:Group Processes; D008954:Models, Biological; D011157:Population Dynamics
keywords: Cooperation; Discounting; Group interactions; Structured populations; Synergy