We study the impact of advice or observation on the depth of reasoning in an experimental beauty-contest game. Both sources of information trigger faster convergence to the equilibrium. Yet, we find that subjects who receive naïve advice outperform uninformed subjects permanently, whereas...

We apply the dynamic stochastic framework proposed by recent evolutionaryliterature to the class of strict supermodular games when two simplebehavior rules coexist in the population, imitation and myopic optimization.We assume that myopic optimizers are able to see how well their payoff...

We study how players in a local interaction hawk dove game will learn, if they can either imitate the most succesful player in the neighborhood or play a best reply versus the opponent's previous action. From simulations it appears that each learning strategy will be used, because each performs...

The novelty of our model is to combine models of collective action on networks with models of social learning. Agents are connected according to an undirected graph, the social network, and have the choice between two actions: either to adopt a new behavior or technology or stay with the default...

In many economic and social contexts, individual players choose their partners and also decide ona mode of behavior in interactions with these partners. This paper develops a simple model toexamine the interaction between partner choice and individual behavior in games of coordination.An...

We examine the force of three types of behavioral dynamics in quantity-setting triopoly experiments:mimicking the successful firm,following the exemplary firm, andbelief learning.Theoretically, these three rules of dynamic conduct lead to the competitive, the collusive, and the Cournot-Nash...