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 four new learning models: impulse balance learning, impulse matching learning, action …-sampling learning, and payoff-sampling learning. With this models and together with the models of self- tuning EWA learning and … reinforcement learning, we conduct simulations over 12 different 2×2 games and compare the results with experimental data obtained …

In this note we study a very simple trial & error learning process in the context of a Cournot oligopoly. Without any …

equilibrium of the game does not organize the individual data, two individual learning models are studied: one following a … predictive value of such learning models is found to be poor. …

Recently there has been much theoretical and experimental work on learning in games. However, learning usually means … "learning about the strategic behavior of opponents" rather than "learning about the game" as such. In contrast, here we report …