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

By André Grow, Jan Van Bavel

This e-book examines using agent-based modelling (ABM) in inhabitants stories, from strategies to functions, top practices to destiny advancements. It positive aspects papers written through major specialists within the box that might aid readers to higher comprehend the usefulness of ABM for inhabitants projections, how ABM will be injected with empirical info to accomplish a greater fit among version and fact, how geographic info could be fruitfully utilized in ABM, and the way ABM effects might be mentioned successfully and correctly.

Coverage levels from detailing the relation among ABM and current paradigms in inhabitants reports to infusing agent-based types with empirical facts. The papers express the advantages that ABM deals the sector, together with more advantageous thought formation via higher linking the micro point with the macro point, the power to symbolize populations extra thoroughly as advanced platforms, and the chance to check infrequent occasions and the results of different mechanisms in synthetic laboratories.

In addition, readers will become aware of directions and top practices with special examples of ways to use agent-based types in numerous components of inhabitants examine, together with human mating behaviour, migration, and socio-structural determinants of overall healthiness behaviours.

Earlier types of the papers during this e-book were awarded 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 improvement of most sensible practices within the box and should supply an excellent 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

Sample text

This method of induction2 consists of discovering the principles – the ‘first’ axioms, the ‘lesser’, and the ‘middle’ in 1 Citations in this and in the next paragraph come from Bacon (1620), aphorisms 24, 39 and 40. e. generalisation from particular facts. In Bacon’s sense, induction designates the complete research process (Sect. 4). 2 2 Model-Based Demography: Towards a Research Agenda 31 Bacon’s terms – of natural or social properties by way of experimentation and observation. The Baconian induction rests on the requirement that without these principles the properties observed would be different (Franck 2002a).

6), for whom the weak simulation is “a calculating device drawing out the consequences of mathematical equations that describe the process simulated,” while a strong simulation “itself resembles the process simulated” (see also Brenner and Werker 2007). 7 38 D. Courgeau et al. on the other hand, aim to “explore the possible outcomes of a simple model” without any reference to a pre-existing theory or hypothesis (idem, p. 72). Many existing agent-based models often proceed in this way, where simulations are used with no pre-existing theory to explain the modelled phenomena, but only some intuitive rules.

1. 1 The four paradigms of demography – a summary No. 1 Paradigm Period (cross-sectional) Period 1662– 2 Cohort (longitudinal) 1950s– 3 Event history 1980s– 4 Multilevel 1980s– Key focus Population-level (macro) phenomena, observed and measured according to the historical time Population-level phenomena, observed and measured along the lifetime of individual cohorts Individual-level (micro) phenomena, observed and measured according to the individual time Individual, population, and interim-level phenomena, observed and measured from multiple perspectives 2 Model-Based Demography: Towards a Research Agenda 35 nuptiality, migration and so on, are independent of the theory used to treat them.

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