Altruistic versus egoistic behavior in a Public Good game

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 switching between the decision rules occurs less often than the probabilities of errors in choosing a strategy and if local neighborhoods are not too small or too large.