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 …

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

and design an experiment in which subjects re-peatedly play 4 simple games within 4 sets of 40 rounds under little …, (ii) the resulting efficiency loss, and (iii) the adjustment of the learning rule. …

The growing literature on learning in games has produced various results on the predictive success of learning theories … four games in order to check on the robustness of rankings among learning rules across measures. We characterise measures … apply all thus defined measures to 12 learning rules. The results show that rankings are indeed sensitive to the measure …