We address the problem of learning and implementation on the Internet. When agents play repeated games in distributed … the essential properties that constitute ``reasonable'' learning behavior in distributed environments. We then study the …

This paper analyses the effect of firm learning on labor market efficiency in a frictional labor market with asymmetric … unknown to firms at the hiring stage. Firm learning increases relative expected earnings in high-ability jobs and, thereby … indeterminate a priori. Numerical results show that firm learning does not increase labor market efficiency. …

How do people learn? We assess, in a distribution-free manner, subjects' learning and choice rules in dynamic two …-armed bandit (probabilistic reversal learning) experiments. To aid in identification and estimation, we use auxiliary measures of … subjects' beliefs, in the form of their eye-movements during the experiment. Our estimated choice probabilities and learning …

. Simulations with a least squares learning rule show that the one-shot model is a good approximation when the imprecision of …

We study learning in a decentralized pairwise adverse selection economy, where buyers have access to the quality of … categorized more finely, and within each category beliefs reflect the empirical average. This leads buyers to have a very fine …

Equilibrium notions for games with unawareness in the literature cannot be interpreted as steady-states of a learning … interpreted as steady-state of both a discovery and learning process. …

We report experiments designed to test between Nash equilibria that are stable and unstable under learning. The 'TASP … equilibrium under fictitious play like learning processes. We use two 4 x 4 games each with a unique mixed Nash equilibrium; one … is stable and one is unstable under learning. Both games are versions of Rock-Paper-Scissors with the addition of a …

cycles in the population mix. The cycle amplitude, frequency and direction are consistent with standard learning models …