-of-thumb?approximation to optimal behavior by trial-and-error methods as Friedman (1953) proposed long ago We find that such individual learning …

benefits and limitations of central bank communications in a model of imperfect knowledge and learning. It is shown that the …

Bertrand solution does not predict well when the number of competitors is two, but after some opportunities for learning are …

intuitively appealing explanation, based on regime switching in the real interest rate and learning, of why tests based on the …

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 …

under debate. Retention may aect learning, cognitive and psychologicalcapacities, educational attainment and the lifetime … studentpsychological traits, and overall learning experience. …