Equilibrium selection in supermodular games with mean payoff technologies

We examine an evolutionary model of equilibrium selection, where all individuals interact with each other, recurrently playing a strictly supermodular game. Individuals play (myopic) best responses to the current population profile, occa- sionally they pick an arbitrary strategy at random. To address the robustness of equilibrium selection in this simultaneous play scenario, we investigate whether different best-response approximations can lead to different long run equilibria.