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...

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...

We study finitely repeated 2 / 2 normal form games, where players have incomplete information about their opponents’ payoffs. In a laboratory experiment we investigate whether players (a) learn the game they are playing, (b) learn to predict the behavior of their opponent, and (c) learn to...

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...

We investigate the effects of information feedback in rent-seeking games with two different contest structures. In the share contest a contestant receives a share of the rent equal to her share of rent-seeking expenditures, while in the lottery contest a contestant wins the entire rent with...

We report results from an experiment in which humans repeatedly play one of two games against a computer program that follows either a reinforcement or an experience weighted attraction learning algorithm. Our experiment shows these learning algorithms detect exploitable opportunities more...

We report results from an experiment in which humans repeatedly play one of two games against a computer program that follows either a reinforcement or an experience weighted attraction learning algorithm. Our experiment shows these learning algorithms detect exploitable opportunities more...

We report results from an experiment in which humans repeatedly play one of two games against a computer program that follows either a reinforcement or an experience weighted attraction learning algorithm. Our experiment shows these learning algorithms detect exploitable opportunities more...