Recently there has been much theoretical and experimental work on learning in games. However, learning usually means … learning about the strategic behavior of opponents rather than learning about the game as such. In contrast, here we report on …

We address the problem of learning and implementation on the Internet. When agents play repeated games in distributed … environments like the Internet, they have very limited {\em a priori} information about the other players and the payoff matrix … the essential properties that constitute ``reasonable'' learning behavior in distributed environments. We then study the …

correlation across players. For each information structure, we define a simple learning efficiency index, which only considers the …We study settings in which, prior to playing an incomplete information game, players observe many draws of private … signals about the state from some information structure. Signals are i.i.d. across draws, but may display arbitrary …

understand better how subjects with different cognitive abilities learn differently, we estimate a structural model of learning … ability to that of character skills, and find that both cognition and personality affect behavior and learning. More agreeable …

learning process of individuals with different preference types (more and less pro-social) and coarse information regarding the … opponent's past behavior. We manipulate the quality of information feedbacks provided after each play. If subjects rely only on … earlier nodes due to prediction errors. Aggregate information release decreases heterogeneity of behavior by increasing the …

, differ strongly from the learning dynamics, while a learning model estimated from the limited information treatment tracks …We use a limited information environment to mimic the state of confusion in an experimental, repeated public goods game …. The results show that reinforcement learning leads to dynamics similar to those observed in standard public goods games …