Agent-based simulation for large-scale emergency response: A survey of usage and implementation

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Hawe, G.I. ; Coates, G. ; Wilson, D.T. ; Crouch, R.S. (2012)

When attempting to determine how to respond optimally to a large-scale emergency, the ability to predict the consequences of certain courses of action in silico is of great utility. Agent-based simulations (ABSs) have become the de facto tool for this purpose; however, they may be used and implemented in a variety of ways. This article reviews existing implementations of ABSs for large-scale emergency response, and presents a taxonomy classifying them by usage. Opportunities for improving ABS for large-scale emergency response are identified.
  • References (203)
    203 references, page 1 of 21

    Akin, H. L., Yilmaz, O., and Sevim, M. M. 2010. RoboAKUT 2010 Rescue Simulation League Agent Team Description.

    Alexandrescu, A. 2001. Modern C++ Design: Generic Programming and Design Patterns Applied. Addison Wesley.

    Allan, R. J. 2010. Survey of Agent Based Modelling and Simulation Tools. Tech. Rep. DL-TR2010-007, Computational Science and Engineering Department, STFC Daresbury Laboratory.

    Amouroux, E., Chu, T., Boucher, A., and Drogoul, A. 2009. GAMA: An Environment for Implementing and Running Spatially Explicit Multi-agent Simulations. Lecture Notes In Arti cial Intelligence 5044, 359{371.

    An, V. D. 2008. Implantation des protocoles de communication FIPA dans la plate-forme GAMA. M.S. thesis, L'Institut de la Francophonie pour l'Informatique.

    Antoniotti, M., Park, F., Policriti, A., Ugel, N., and Mishra, B. 2003. Foundations of a query and simulation system for the modeling of biochemical and biological processes. In Proc. of the Paci c Symposium of Biocomputing (PSB03). Vol. 58. 59.

    ArcGIS. 2010. ArcGIS: A Complete Integrated System. index.html.

    Au-Yeung, S. W. M., Harrison, P. G., and Knottenbelt, W. J. 2006. A queueing network model of patient ow in an accident and emergency department. In Proc. 20th Annual European and Simulation Modelling Conference. 60{67.

    Australian Government Department of Defence. 2005. Simulation veri cation, validation and accreditation guide. Tech. rep., Australian Defence Simulation O ce Department of Defence, Canberra.

    Axtell, R., Axelrod, R., Epstein, J., and Cohen, M. 1996. Aligning simulation models: A case study and results. Computational & Mathematical Organization Theory 1, 2, 123{141.

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