Individual behaviors such as smoking, fashion, and the adoption of new products is influenced by taking account of others' actions in one's decisions.  We study social influence in a heterogeneous population and analyze the long-run behavior of the dynamics.  We distinguish between cases in...

This paper presents a pairwise matching model with two-sided information asymmetry to analyse the impact of information costs on endogenous network building and matching by information intermedairies. The framework innovates by examining the role of information costs on incentives for trade...

This paper studies a game of strategic experimentation with two-armed bandits whose risky arm might yield a payoff only after some exponentially distributed random time. Because of free-riding, there is an inefficiently low level of experimentation in any equilibrium where the players use...

In this paper we investigate how cognitive ability influences behavior, success and theevolution of play towards Nash equilibrium in repeated strategic interactions. We study behaviorin a p-beauty contest experiment and find striking differences according to cognitiveability: more cognitively...

Many interactive environments can be represented as games, but they are so large and complex that individual players are in the dark about others' actions and the payoff structure.  This paper analyzes learning behavior in such 'black box' environments, where players' only source of information...

This paper examines the convergence of payoffs and strategies in Erev and Roth`s model of reinforcement learning. When all players use this rule it eliminates iteratively dominated strategies and in two-person constant-sum games average payoffs converge to the value of the game. Strategies...

This paper studies learning in monotone Bayesian games with one-dimensional types and finitely many actions. Players switch between actions at a set of thresholds.  A learning algorithm under which players adjust their strategies in the direction of better ones using payoffs received at...

We axiomatize preferences that can be represented by a monotonic aggregation of subjective expected utilities generated by a utility function and some set of i.i.d. probability measures over a product state space, S1. For such preferences, we define relevant measures, show that they are treated...

We study decentralized learning dynamics for the classic assignment game with transferable utility.  At random points in time firms and workers match, break up, and re-match in the sesarch for better opportunities.  We propose a simple learning process in which players have no knowledge about...

If players learn to play an infinitely repeated game using Bayesian learning, it is known that their strategies eventually approximate Nash equilibria of the repeated game under an absolute-continuity assumption on their prior beliefs.  We suppose here that Bayesian learners do not start with...