what the payoffs would have been if she had played differently. For quantitative learning models employed in studies of low …, this omission can seriously weaken the predictive power of a learning model. We propose a novel method of using players׳ ex … resulting learning model to explain the pricing and learning behavior observed in a Bertrand market experiment. Maximum …

We present a model of entry and exit with Bayesian learning and price competition. A new product of initially unknown …

In contexts in which players have no priors, we analyze a learning process based on ex-post regret as a guide to …. -- Fixed and Random Matching ; Incomplete Information ; Ex-Post Regret Learning ; Nash Equilibrium ; Ex-Post Equilibrium …

In contexts in which players have no priors, we analyze a learning process based on ex-post regret as a guide to …

In contexts in which players have no priors, we analyze a learning process based on ex-post regret as a guide to …

In contexts in which players have no priors, we analyze a learning process based on ex-post regret as a guide to …

Learning in real life is based on different processes. Humans learn to a certain extent from their own experience but … assessment learning (GPAL) model which enables us to evaluate the relative influences of these two different models of learning …. The model explains the observed pricing and learning behavior at least as well and often better than learning models from …