Departing from the comprehensive reviews carried out in the field, we identify the key
challenges that agent-based methodology faces when modeling coupled socio-ecological …

Abstract Economies are complicated systems encompassing micro behaviors, interaction
patterns, and global regularities. Whether partial or general in scope, studies of economic …

Representing human decisions is of fundamental importance in agent-based models.
However, the rationale for choosing a particular human decision model is often not …

This chapter surveys research on agent-based models used in finance. It will concentrate on
models where the use of computational tools is critical for the process of crafting models …

This paper addresses a set of methodological problems arising in the empirical validation of
agent-based (AB) economics models and discusses how these are currently being tackled …

This paper reviews the development of agent-based (computational) economics (ACE) from
an econometrics viewpoint. The review comprises three stages, characterizing the past, the …

This paper addresses the methodological problems of empirical validation in agent-based
(AB) models in economics and how these are currently being tackled. We first identify a set …

This chapter examines the relationship between agent-based modeling and economic
decision-making experiments with human subjects. Both approaches exploit controlled …

Social-ecological systems are complex adaptive systems where social and biophysical
agents are interacting at multiple temporal and spatial scales. The main challenge for the …

In this paper, we trace four origins of agent-based computational economics (ACE), namely,
the markets origin, the cellular-automata origin, the tournaments origin, and the experiments …