This book examines the use of agent-based modelling (ABM) in population
studies, from concepts to applications, best practices to future
developments. It features papers written by leading experts in the field
that will help readers to better understand the usefulness of ABM for
population projections, how ABM can be injected with empirical data to
achieve a better match between model and reality, how geographic
information can be fruitfully used in ABM, and how ABM results can be
reported effectively and correctly.
Coverage ranges from detailing the relation between ABM and existing
paradigms in population studies to infusing agent-based models with
empirical data. The papers show the benefits that ABM offers the field,
including enhanced theory formation by better linking the micro level
with the macro level, the ability to represent populations more
adequately as complex systems, and the possibility to study rare events
and the implications of alternative mechanisms in artificial
laboratories.
In addition, readers will discover guidelines and best practices with
detailed examples of how to apply agent-based models in different areas
of population research, including human mating behaviour, migration, and
socio-structural determinants of health behaviours.
Earlier versions of the papers in this book have been presented at the
workshop "Recent Developments and Future Directions in Agent-Based
Modelling in Population Studies," which took place at the University of
Leuven (KU Leuven), Belgium, in September 2014. The book will contribute
to the development of best practices in the field and will provide a
solid point of reference for scholars who want to start using
agent-based modelling in their own research.
