expectations rule. Subjects are less likely to make conditionally optimal production decision for given forecasts in treatment 3 …

JMG's ideas of self-fulfilling mistakes. Some of our learning-to-forecast laboratory experiments with human subjects have …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 …

decision heuristics. Central to our survey is the question under which conditions a complex macro-system of interacting agents …

all stylized facts observed in aggregate price fluctuations and individual forecasting behaviour in recent learning to … forecast laboratory experiments with human subjects (Hommes et al. 2007), simultaneously and across different treatments …

. Subjects are less likely to make conditionally optimal production decision for given forecasts in treatment 3) where the …

Do agents believe to be agreeing more with others in the long-run? This paper designs an experiment to study how … disagreement regardless of cognitive ability. Learning about the state of the world has little effect on the evolution of perceived …

and realizations. We discuss three case-studies. Firstly, a New Keynesian macro model with a representative agent learning …-reverting fundamental rule and a trend-following rule, based upon their past performance. The third example concerns learning …-to-forecast laboratory experiments, where under positive feedback individuals coordinate expectations on non-rational, almost self …

trend-following rule, based upon their relative performance. We also discuss learning-to-forecast laboratory experiments …We discuss recent work on bounded rationality and learning in relation to Soros' principle of reflexivity and stress …