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 …

other, and can delay their decision. Subjects acted rationally, gaining from observational learning, despite penalties for …

This paper introduces a model of boundedly rational observational learning, which is rationally founded and applicable … networks. Evidence from a laboratory experiment supports Quasi-Bayesian updating and our theoretical predictions …

We study the statistical properties of three estimation methods for a model of learning that is often fitted to …

and such learning behaviour induces more competitive outcomes in the Cournot market designs. By the same token, when … players experiment with new strategies when their payoff falls below the average profit (F. Palomino and F. Vega-Redondo, 1999 …

outside their ethnic group. In the experiment, Thai subjects observed information that came from Americans and other Thais …

learning models in light of a laboratory experiment on responsiveness in a lowinformation dynamic game subject to changes in …While many learning models have been proposed in the game theoretic literature to track individuals’ behavior … its underlying structure. While history-dependent reinforcement learning models track convergence of play well in repeated …