Introduction

Abstract

The analysis of mathematical models describing the learning behavior of rational agents has been one of the major topics of economic research for the last few years or even decades. Many different models have been proposed and their analysis has given the researchers some insights into the phenomenon of formation of equilibria in economic systems. On the other hand, the modern development of computer technology has caused the rise of a new dynamic field of research, which deals entirely with the understanding and imitation of human behavior, namely the “artificial intelligence” research. Although there is considerable overlap between these two fields they have long developed in isolation from one another. Only recently the interest of some economists in certain techniques mainly from the AI related field of “computational intelligence” (CI) has increased and has led to the applications of these techniques to economic models.