L'émergence des règles de coordination dans un modèle d'agents. Une contribution à l'analyse évolutionniste du changement économique

This article aims to illustrate how artificial intelligence and cognitive sciences may complement economic approaches to learning and coordination. This article proposes a model of individual rationality which microeconomic assumptions are based on the principles of induction, classification and generalisation of knowledge. Building on the ?El Farol? model first introduced by Arthur [1994], we use a particular class of classifier systems to study how a population of artificial learning agents develop adapted decision rules in a variety of contexts. These rules allow agent to coordinate their actions by using only minimal information about their environment. Classification JEL : B40, B52, C72, D64, D83, D89<np pagenum="1360"/>