This essay links some of my own work on expectations, learning and bounded rationality to the inspiring ideas of Jean …-Michel Grandmont. In particular, my work on consistent expectations and behavioral learning equilibria may be seen as formalizations of … JMG's ideas of self-fulfilling mistakes. Some of our learning-to-forecast laboratory experiments with human subjects have …

We introduce learning in a dynamic game of international pollution, with ecological uncertainty. We characterize and … ecological uncertainty but they gain information (learn) about it. We then compare our learning model with the benchmark model of … anticipative learning induces a decrease in total emissions, but not necessarily in individual emissions. Further, the effect of …

learning, so that inertia in adjustment should fade away with experience. If this finding proves to be robust, inertia in … rules. Notably, refining these rules with similarity-based learning approach improves their predictive power …

learning, so that inertia in adjustment should fade away with experience. If this finding proves to be robust, inertia in … rules. A reformulation of naïve expectations with similarity-based learning approach is found to have a higher predictive …

computational complexity and lack of an appropriate equilibrium selection theory, most previous studies employed the open-loop Nash … convention based on learning. When the process converges, the limiting equilibrium is shown to be a subgame perfect equilibrium …