We report on experimental evidence rationalizing the use of heterogeneous agent models. We provide compelling evidence that subjects in laboratory experiments often behave in ways that depart from the rational choice ideal. Further, these subjects' heuristic approaches often differ from one...

This chapter shows that networks can have large and differentiated effects on behavior and then argues that social and economic pressures facilitate the formation of heterogeneous networks. Thus networks can play an important role in understanding the wide diversity in human behavior and in...

This chapter surveys the state-of-art of heterogeneous agent models (HAMs) in finance using a jointly theoretical and empirical analysis, combined with numerical analysis from the latest development in computational finance. It provides supporting evidence on the explanatory power of HAMs to...

This chapter surveys work dedicated to macroeconomic analysis using an agent-based modeling approach. After a short review of the origins and general characteristics of this approach a systemic comparison of the structure and modeling assumptions of a set of important (families of) agent-based...