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2022
- ISIDORE Id: 10670/1.ec7102...
- hal: hal-04106638
- doi: 10.18564/jasss.4762
- IRD: fdi:010084768
- WOS: 000787986300001
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info:eu-repo/semantics/altIdentifier/doi/10.18564/jasss.4762
info:eu-repo/semantics/OpenAccess
Mots-clés
Agent-Based Simulation Model Initialization Data-Driven Social Simulation Synthetic PopulationSujets proches
Generation Procreation Pangenesis Amphimixis Populations, Human Human populations Population growth Human population Pattern Model Demography DemographicsCiter ce document
Kevin Chapuis et al., « Generation of Synthetic Populations in Social Simulations: A Review of Methods and Practices », HAL SHS (Sciences de l’Homme et de la Société), ID : 10.18564/jasss.4762
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Résumé
To build realistic models of social systems, designers of agent-based models tend to incorporate a considerable amount of data, which influence the model outcomes. Data concerning the attributes of social agents, which compose synthetic populations, are particularly important but usually difficult to collect and therefore use in simulations. In this paper, we have reviewed state of the art methodologies and theories for building realistic synthetic populations for agent-based simulation models and practices in social simulations. We also highlight the discrepancies between theory and practice and outline the challenges in bridging this gap through a quantitative and narrative review of work published in JASSS between 2011 and 2021. Finally, we present several recommendations that could help modellers adopt best practices for synthetic population generation.
