We analyze stochastic adaptation in finite n-player games played by heterogeneous populations containing best repliers, better repliers, and imitators. Individuals select strategies by applying a personal learning rule to a sample from a finite history of past play. We give sufficient conditions...

In this paper, we define an evolutionary stability criterion for learning rules. Using simulations, we then apply this criterion to three types of symmetric 2x2 games for a class of learning rules that can be represented by the parametric model of Camerer and Ho [1999. Experience-weighted...

This paper analyzes an evolutionary version of the Public Good game in which boundedly rational agents can use imitation and best-reply decision rules. Several possibilities for both decision rules to be present in the population are considered. I show that altruistic behavior might survive if...