Models involving human decision-makers often include idealized assumptions, such as rationality, perfect foresight, and access to relevant information. These assumptions usually assure the models' internal validity but, at the same time, might limit the models' power to explain empirical...

The goal of this paper is to provide insights into how scientific evidence can be used for policymaking and put evidence-based agriculture and food policies at the top of research and policy agendas. We illustrate how scientific evidence can be used in a targeted manner for better policymaking...

This chapter treats a variety of epistemological issues surrounding generative explanation in the social sciences, and discusses the role of agent-based computational models in generative social science.

This chapter examines the relationship between agent-based modeling and economic decision-making experiments with human subjects. Both approaches exploit controlled “laboratory” conditions as a means of isolating the sources of aggregate phenomena. Research findings from laboratory studies...