title: Evolutionary games on networks and payoff invariance under replicator dynamics.
abstract: The commonly used accumulated payoff scheme is not invariant with respect to shifts of payoff values when applied locally in degree-inhomogeneous population structures. We propose a suitably modified payoff scheme and we show both formally and by numerical simulation, that it leaves the replicator dynamics invariant with respect to affine transformations of the game payoff matrix. We then show empirically that, using the modified payoff scheme, an interesting amount of cooperation can be reached in three paradigmatic non-cooperative two-person games in populations that are structured according to graphs that have a marked degree inhomogeneity, similar to actual graphs found in society. The three games are the Prisoner's Dilemma, the Hawks-Doves and the Stag-Hunt. This confirms previous important observations that, under certain conditions, cooperation may emerge in such network-structured populations, even though standard replicator dynamics for mixing populations prescribes equilibria in which cooperation is totally absent in the Prisoner's Dilemma, and it is less widespread in the other two games.
authors.affiliation: Information Systems Department, HEC, University of Lausanne, Internef Dorigny, Lausanne, Switzerland.
authors.forename: Leslie
authors.initials: L
authors.lastname: Luthi
authors.forename: Marco
authors.initials: M
authors.lastname: Tomassini
authors.forename: Enea
authors.initials: E
authors.lastname: Pestelacci
mesh_terms: D005075:Biological Evolution; D003163:Competitive Behavior / Q000502:physiology*; D003198:Computer Simulation; D005716:Game Theory; D008957:Models, Genetic; D011157:Population Dynamics