the help of econometric models. Agents use least squares learning to estimate two competing models of which one is … consistent with rational expectations once learning is complete. When past performance governs the choice of forecast model …

purification with recent results from the rational learning literature. …

Reinforcement learning has proved quite successful in predicting subjects' adjustment behaviour in repeatedly played … simple games. However, reinforcement learning does not predict convergence to the efficient cell in the minimal information … learning rule, a modification of win-stay lose-change, does predict convergence. We perform an experiment using modern economic …

, (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 …

This paper aims at analysing the effects of learning on the individual behaviour in an experiment that requires … apply them also in other situations) and propose new hypothesis. Learning is not only based on a mechanical repetition of …

(active learning model), negative initial size effects that fall with age but stay permanently negative (passive learning … the active learning model, the effect of initial size is significantly negative for a young firm and falls to zero with …