We study behavior in repeated interactions when agents have no information about the structure of the underlying game … and they cannot observe other agents' actions or payoffs. Theory shows that even when players have no such information …, simple payoff-based learning rules eventually lead to equilibrium. Such rules have previously been documented for some forms …

Our study analyzes theories of learning for strategic interactions in networks. Participants played two of the 2 x 2 … order shown by Selten and Chmura. This result supports our view that learning in networks is different from learning in …

Our study analyzes theories of learning for strategic interactions in networks. Participants played two of the 2 x 2 … order shown by Selten and Chmura. This result supports our view that learning in networks is different from learning in …

Our study analyzes theories of learning for strategic interactions in networks. Participants played two of the 2 x 2 … order shown by Selten and Chmura. This result supports our view that learning in networks is different from learning in …

Our study analyzes theories of learning for strategic interactions in networks. Participants played two of the 2 x 2 … order shown by Selten and Chmura. This result supports our view that learning in networks is different from learning in …

either two or six games in each of 100 rounds. If either there are few games or if extensive summary information is provided … there are learning spillovers across games but participants learn to play strategically equivalent games in the same way …

This paper aspires to fill a conspicuous gap in the literature regarding learning in games—the absence of empirical … verification of learning rules involving pattern recognition. Weighted fictitious play is extended to detect two-period patterns in … adequately represent the complete learning process of game players. Additionally, standard weighted fictitious play models are …

estimated EWA learning models which suffered from overfitting. Subjects modified their strategies in the direction of better … response as calculated from CA simulations of various learning models, albeit not perfectly. Examples include the observation …

are in the dark about what others are doing and how their own payo s are a ected. This paper analyzes learning behavior in … such 'black box' environments, where players' only source of information is their own history of actions taken and payoff s … identify two key features of the players' learning dynamics. First, if a player's realized payoff increases he is less inclined …