This paper aims at studying the effects of learning - seen as a possible source of individual heterogeneity - on team … strategies learned in the past, to the new situations faced. Learning processes, yet, are not based on the mechanical repetition …

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

, (ii) the resulting efficiency loss, and (iii) the adjustment of the learning rule. …

number of standard learning algorithms. The learning theories are (unbeknown to subjects) a best response process, fictitious … play, imitation, reinforcement learning, and a trial & error process. We test whether subjects try to influence those … and that all learning algorithms are subject to exploitation with the notable exception of imitation. The experiment was …

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 …

methodological issues. Then the attention is focused on the relevance of the experimental method for the analysis of learning and …