findings are strategic uncertainty and incomplete learning. …

reinforcement learning or an Experience Weighted Attraction algorithm. Our experiments show these learning algorithms detect … exploitable opportunities more sensitively than humans. Also, learning algorithms respond to detected payoff …

This paper presents an experiment on learning in repeated games, which complements the analysis of players' actual … a priori information. The econometrics hinges on a model built upon Experience Weighted Attraction learning, and the … simultaneous analysis of data on the information gathered and on actions taken by the subjects. Results suggest that learning is a …

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 … an experiment designed to test whether players learn a) the relevant features of the payoff structure of a 2x2 game (e …