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Hybrid Agent Modeling in Population Simulation: Current Approaches and Future Directions

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Agent based population is fundamental to the micro-simulation of various dynamic urban eco- and social systems. This paper surveys the basic theories and methods of hybrid agent modeling in population simulation emerged recent years. We first introduce the framework of this hybrid agent based population generation. The current approaches of initial database synthesis including sample based and sample free methods are then discussed in detail, followed by a brief comparison of these methods. In addition, the major types and characteristics of agent models and their applications are also reviewed. Finally, we conclude by outlining the future directions of population research using agent technology

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  • Pei-jun Ye & Xiao Wang & Cheng Chen & Yue-tong Lin & Fei-Yue Wang, 2016. "Hybrid Agent Modeling in Population Simulation: Current Approaches and Future Directions," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 19(1), pages 1-12.
    • Handle: RePEc:jas:jasssj:2014-116-3
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    1. Martin Spielauer, 2007. "Dynamic microsimulation of health care demand, health care finance and the economic impact of health behaviours: survey and review," International Journal of Microsimulation, International Microsimulation Association, vol. 1(1), pages 35-53.
    2. Francesco Billari & Alexia Prskawetz & Thomas Fent & Belinda Aparicio Diaz, 2007. "The "Wedding-Ring"," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 17(3), pages 59-82.
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    1. Cathal O'Donoghue & Gijs Dekkers, 2018. "Increasing the Impact of Dynamic Microsimulation Modelling," International Journal of Microsimulation, International Microsimulation Association, vol. 11(1), pages 61-96.
    2. Abdoul Razac Sané & Pierre-Olivier Vandanjon & Rachid Belaroussi & Pierre Hankach, 2025. "A comprehensive investigation of variational auto-encoders for population synthesis," Journal of Computational Social Science, Springer, vol. 8(1), pages 1-34, February.

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