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 …

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

which one can describe the learning behaviour of agents and the changes in action spaces. Using the extremely simplified …

An agent-based artificial financial market (AFM) is used to study market efficiency and learning in the context of the … there are many coexisting signals. Learning is introduced by considering 'copycat' traders that learn the relative values of … the different strategies in the market and copy the most successful one. We show how such learning leads to a more …

possible in some cases. However, once consumer learning is introduced, the monopoly outcome first found by Diamond (1971) is …

This experiment was designed to test various learning theories in the context of a Cournot oligopoly. We derive … theoretical predictions for the learning theories and test these predictions by varying the information given to subjects. The …