期刊
POPULATION STUDIES-A JOURNAL OF DEMOGRAPHY
卷 71, 期 -, 页码 85-97出版社
ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
DOI: 10.1080/00324728.2017.1350280
关键词
agent heterogeneity; decision models; demographic methods; social simulation; social influence; uncertainty; time
类别
资金
- project: Care Life Cycle - Engineering and Physical Sciences Research Council [EP/H021698/1]
- ESRC Centre for Population Change - Economic and Social Research Council [ES/K007394/1]
- Bayesian Agent-Based Population Studies - European Research Council [ERC-CoG-2016-725232]
- Institute for Complex Systems Simulations - Engineering and Physical Sciences Research Council [EP/G03690X/1]
- EPSRC [EP/H021698/1] Funding Source: UKRI
- ESRC [ES/K007394/1] Funding Source: UKRI
- Economic and Social Research Council [ES/K007394/1] Funding Source: researchfish
- Engineering and Physical Sciences Research Council [EP/H021698/1] Funding Source: researchfish
This paper investigates the issues associated with choosing appropriate models of choice for demographic agent-based models. In particular, we discuss the importance of context, time preference, and dealing with uncertainty in decision modelling, as well as the heterogeneity between agents in their decision-making strategies. The paper concludes by advocating empirically driven, modular, and multi-model approaches to designing simulations of human decision-making, given the lack of an agreed strategy for dealing with any of these issues. Furthermore, we suggest that an iterative process of data collection and simulation experiments, with the latter informing future empirical data collection, should form the basis of such an endeavour. The discussion is illustrated with reference to selected demographic agent-based models, with a focus on migration.
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