We conduct a laboratory experiment and provide evidence of learning spillovers within and across equivalence classes of … “structurally similar” games. These spillovers are inconsistent with existing theories of learning in games. …

games offer new opportunities to identify learning rules, since on networks (compared to e.g. random matching) more rules … participants choose and which information they consult before making their choices. We use this information to estimate learning … types using maximum likelihood methods. There is substantial heterogeneity in learning types. However, the vast majority of …

We present a hidden Markov model of discrete strategic heterogeneity and learning in first price independent private …

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 …

In this paper, we introduce two new learning models: impulse-matching learning and action-sampling learning. These two … models together with the models of self-tuning EWA and reinforcement learning are applied to 12 different 2 x 2 games and … are two-fold: while the simulations with impulse-matching and action-sampling learning successfully replicate the …

perspectives (i.e. computerizing, learning, grouping, talking, and even teaching how to play it), but the anomaly still survives …