André Grow, Jan Van Bavel's Agent-Based Modelling in Population Studies: Concepts, PDF

By André Grow, Jan Van Bavel

ISBN-10: 3319322818

ISBN-13: 9783319322810

ISBN-10: 3319322834

ISBN-13: 9783319322834

This booklet examines using agent-based modelling (ABM) in inhabitants reports, from options to purposes, top practices to destiny advancements. It positive aspects papers written by way of best specialists within the box that may support readers to raised comprehend the usefulness of ABM for inhabitants projections, how ABM could be injected with empirical info to accomplish a greater fit among version and fact, how geographic details could be fruitfully utilized in ABM, and the way ABM effects could be suggested successfully and correctly.

Coverage levels from detailing the relation among ABM and present paradigms in inhabitants stories to infusing agent-based types with empirical info. The papers exhibit the advantages that ABM bargains the sector, together with greater idea formation via higher linking the micro point with the macro point, the facility to symbolize populations extra correctly as advanced structures, and the prospect to check infrequent occasions and the consequences of different mechanisms in man made laboratories.

In addition, readers will observe guidance and top practices with distinctive examples of ways to use agent-based types in several parts of inhabitants learn, together with human mating behaviour, migration, and socio-structural determinants of future health behaviours.

Earlier models of the papers during this ebook were provided on the workshop “Recent advancements and destiny instructions in Agent-Based Modelling in inhabitants Studies,” which came about on the collage of Leuven (KU Leuven), Belgium, in September 2014. The ebook will give a contribution to the advance of top practices within the box and may offer an exceptional aspect of reference for students who are looking to begin utilizing agent-based modelling of their personal research.

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Extra info for Agent-Based Modelling in Population Studies: Concepts, Methods, and Applications

Sample text

Williams, N. , O’Brien, M. , & Yao, X. (2016). Using survey data for agent-based modeling: design and challenges in a model of armed conflict and population change. In A. Grow & J. ), Agent-based modelling in population studies: Concepts, methods, and applications (pp. 159–184). Springer. , & Rees, P. (2005). Recent developments in population projection methodology: A review. Population, Space and Place, 11(5), 337–360. , & Beall, R. (2016). Exploring contingent inequalities: Building the theoretical health inequality model.

4 we discuss the ways of conforming computational methods to the classical scientific programme outline, and make the case for modelbased demography as a new research programme for the discipline. Finally, in Sect. 5 we propose a research agenda to address the challenges ahead. 2 Cumulativity in Demography Since the origin of demography in the seventeenth century, the field has progressed through a series of paradigmatic changes. Here we use the term paradigm in a somewhat different sense from Kuhn (1962), and from its current usage.

In A. Grow & J. ), Agent-based modelling in population studies: Concepts, methods, and applications (pp. 439–459). Springer. , & Dribe, M. (2016). Exploring the role of communication in shaping fertility transition patterns in space and time. In A. Grow & J. ), Agent-based modelling in population studies: Concepts, methods, and applications (pp. 369–403). Springer. Kreager, P. (2009). Darwin and Lotka: Two concepts of population. Demographic Research, 21, 469–501. Kreager, P. (2015a). Population and the making of the human sciences: A historical outline.

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Agent-Based Modelling in Population Studies: Concepts, Methods, and Applications by André Grow, Jan Van Bavel

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