By André Grow, Jan Van Bavel
This e-book examines using agent-based modelling (ABM) in inhabitants reports, from ideas to purposes, most sensible practices to destiny advancements. It gains papers written through prime specialists within the box that would support readers to raised comprehend the usefulness of ABM for inhabitants projections, how ABM should be injected with empirical info to accomplish a greater fit among version and fact, how geographic info may be fruitfully utilized in ABM, and the way ABM effects should be suggested successfully and correctly.
Coverage levels from detailing the relation among ABM and latest paradigms in inhabitants experiences to infusing agent-based versions with empirical facts. The papers express the advantages that ABM deals the sphere, together with superior conception formation by way of larger linking the micro point with the macro point, the power to symbolize populations extra safely as complicated structures, and the chance to check infrequent occasions and the consequences of different mechanisms in synthetic laboratories.
In addition, readers will become aware of instructions and top practices with specific examples of the way to use agent-based types in numerous components of inhabitants study, together with human mating behaviour, migration, and socio-structural determinants of well-being behaviours.
Earlier types of the papers during this publication were offered on the workshop “Recent advancements and destiny instructions in Agent-Based Modelling in inhabitants Studies,” which happened on the college of Leuven (KU Leuven), Belgium, in September 2014. The e-book will give a contribution to the improvement of most sensible practices within the box and should offer a great aspect of reference for students who are looking to commence utilizing agent-based modelling of their personal research.
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Additional resources for Agent-Based Modelling in Population Studies: Concepts, Methods, and Applications
Evolutionary contributions to the study of human fertility. Population Studies, 69(Supplement 1), S29–S55. -P. (2011). Who contacts whom? Educational homophily in online mate selection. European Sociological Review, 27(2), 180–195. Smaldino, P. , & Schank, J. C. (2011). Human mate choice is a complex system. Complexity, 17(5), 11–22. Szreter, S. (1993). The idea of demographic transition and the study of fertility change: A critical intellectual history. Population and Development Review, 19(4), 659–701.
172, italics as in original). However, “demography is neither theoretical physics nor is it mineralogical chemistry”: with this truism, Charbit (2009, p. 48) wants to highlight something he thinks is particular for the human sciences: because demography is a human science, theories are based on factors that are peculiar to a given historical context. Indeed, doing social science is not about finding eternal laws that allow us to predict the future. It might therefore be tempting to dismiss altogether the idea of a general theory of population and to stick with idiosyncratic narratives that might explain in a particular context why things happened the way they did.
Economic, social and demographic thought in the XIXth century: The population debate from Malthus to Marx. Dordrecht: Springer. , & Villavicencio, F. (2016). Feedback mechanisms in the postponement of fertility in Spain. In A. Grow & J. ), Agent-based modelling in population studies: Concepts, methods, and applications (pp. 405–435). Springer. , & Roth, C. (2007). How realistic should knowledge diffusion models be? Journal of Artificial Societies and Social Simulation, 10(3), 5. Coleman, J. S. (1986).
Agent-Based Modelling in Population Studies: Concepts, Methods, and Applications by André Grow, Jan Van Bavel