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Agent-Based Models as Policy Decision Tools: The Case of Smallpox Vaccination

Author

Listed:
  • Till Grüne-Yanoff

    (University of Helsinki, Helsinki, Finland, till.grune@helsinki.fi)

Abstract

Agent-based simulation (ABS) studies have recently been employed to support policy decisions. This article addresses the particular potentials and problems that ABS faces in this usage. First, the author warns against taking “familiarity†with specific ABS as a criterion for having confidence in the model’s policy recommendations. Second, he shows that specific epistemic issues—in particular the high number of detailed simulated systems—require additional reflection on which decision rules to choose for policy decisions based on ABS. Third, the author points out directions in which the construction and uses of ABS in policy decision could be improved. Each of these issues is illustrated by simulation studies undertaken to investigate smallpox vaccination policies.

Suggested Citation

  • Till Grüne-Yanoff, 2011. "Agent-Based Models as Policy Decision Tools: The Case of Smallpox Vaccination," Simulation & Gaming, , vol. 42(2), pages 225-242, April.
    • Handle: RePEc:sae:simgam:v:42:y:2011:i:2:p:225-242
    DOI: 10.1177/1046878110377484
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    References listed on IDEAS

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    1. Ian Lustick, 2000. "Agent-Based Modelling of Collective Identity: Testing Constructivist Theory," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 3(1), pages 1-1.
    2. Koopman, J.S. & Lynch, J.W., 1999. "Individual causal models and population system models in epidemiology," American Journal of Public Health, American Public Health Association, vol. 89(8), pages 1170-1174.
    3. Steve Bankes, 1993. "Exploratory Modeling for Policy Analysis," Operations Research, INFORMS, vol. 41(3), pages 435-449, June.
    4. Benjamin M. Eidelson & Ian Lustick, 2004. "VIR-POX: An Agent-Based Analysis of Smallpox Preparedness and Response Policy," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 7(3), pages 1-6.
    5. Stephen Eubank & Hasan Guclu & V. S. Anil Kumar & Madhav V. Marathe & Aravind Srinivasan & Zoltán Toroczkai & Nan Wang, 2004. "Modelling disease outbreaks in realistic urban social networks," Nature, Nature, vol. 429(6988), pages 180-184, May.
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