adjust their curricula: Less selective public colleges adopt a less demanding curriculum in order to accommodate the influx … more demanding curriculum to better serve their most able students, again at the expense of medium ability students. The …

with experience. We then reject increasing confidence in private information or learning about the structure of the …

We derive the optimal monetary policy in a sticky price model when private agents follow adaptive learning. We show … order to facilitate private sector learning and thus ease the future intratemporal inflation-output gap trade-offs. The … policy recommendation is robust: the welfare loss entailed by the optimal policy under learning if the private sector …

unknown value. A winner’s curse phenomenon arises when subjects bid too high and make losses. Learning direction theory can … quantitative predictions on the basis of learning direction theory. We also look at monotonic ladder processes. It is shown that …

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 …

decision behavior (like learning and expectation formation), reasoning, and the connection between bounded rationality and …

learning procedures. We consider the Stochastic Gradient-Algorithm as a boundedly rational learning procedure in an univariate … influence of the forecast feedback is limited the learning agents cannot destabilize the model and learn to form rational …

Adaptive learning and punishment are highly prominent competing explanations for ultimatum game behavior. We report on … way. Our data exhibits patterns for which punishment can account but learning by itself cannot. Initial play varies …