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2014 | OriginalPaper | Chapter

12. Semi-Artificial Models of Populations: Connecting Demography with Agent-Based Modelling

Authors : Eric Silverman, Jakub Bijak, Jason Noble, Viet Cao, Jason Hilton

Published in: Advances in Computational Social Science

Publisher: Springer Japan

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Abstract

In this paper we present an agent-based model of the dynamics of mortality, fertility, and partnership formation in a closed population. Our goal is to bridge the methodological and conceptual gaps that remain between demography and agent-based social simulation approaches. The model construction incorporates elements of both perspectives, with demography contributing empirical data on population dynamics, subsequently embedded in an agent-based model situated on a 2D grid space. While taking inspiration from previous work applying agent-based simulation methodologies to demography, we extend this basic concept to a complete model of population change, which includes spatial elements as well as additional agent properties. Given the connection to empirical work based on demographic data for the United Kingdom, this model allows us to analyse population dynamics on several levels, from the individual, to the household, and to the whole simulated population. We propose that such an approach bolsters the strength of demographic analysis, adding additional explanatory power.

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previous chapter Influence of the Corporation Tax Rate on GDP in an Agent-Based Artificial Economic System
next chapter An Agent-Based Approach for Patient Satisfaction and Collateral Health Effects
Footnotes
1
See [27] for a further explication of this approach, and [28] for an additional example using a different modelling platform.
 
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Metadata
Title
Semi-Artificial Models of Populations: Connecting Demography with Agent-Based Modelling
Authors
Eric Silverman
Jakub Bijak
Jason Noble
Viet Cao
Jason Hilton
Copyright Year
2014
Publisher
Springer Japan
Book
Advances in Computational Social Science

Print ISBN: 978-4-431-54846-1

Electronic ISBN: 978-4-431-54847-8

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-4-431-54847-8_12

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