learnable by several models of learning, such as adaptive and sophisticated learning (Milgrom and Roberts 1991), calibrated … learning (Foster and Vohra 1996), and reasonable learning (Friedman and Shenker 1997). Thus, using these methods one can …

This paper describes the results of simulation experiments performed on a suite of learning algorithms. We focus on … be extremely asynchronous; players update their strategies at very different rates. There are many proposed learning … information, asynchronous play, and the degree of responsiveness of the learning algorithm. …

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 …

education on health behavior is the same between those with and without a learning disability, suggesting that cognition is not …

We present the results of an experiment on learning in a continuous-time low-information setting. For a Cournot …

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 …