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Environment updating and agent scheduling policies in agent-based simulators

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  • Philippe Mathieu

    (LIFL - Laboratoire d'Informatique Fondamentale de Lille - Université de Lille, Sciences et Technologies - Inria - Institut National de Recherche en Informatique et en Automatique - Université de Lille, Sciences Humaines et Sociales - CNRS - Centre National de la Recherche Scientifique, SMAC - Systèmes Multi-Agents et Comportements - CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 - Centrale Lille - Université de Lille - CNRS - Centre National de la Recherche Scientifique)

  • Yann Secq

    (LIFL - Laboratoire d'Informatique Fondamentale de Lille - Université de Lille, Sciences et Technologies - Inria - Institut National de Recherche en Informatique et en Automatique - Université de Lille, Sciences Humaines et Sociales - CNRS - Centre National de la Recherche Scientifique, SMAC - Systèmes Multi-Agents et Comportements - CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 - Centrale Lille - Université de Lille - CNRS - Centre National de la Recherche Scientifique)

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Suggested Citation

  • Philippe Mathieu & Yann Secq, 2012. "Environment updating and agent scheduling policies in agent-based simulators," Post-Print hal-00826400, HAL.
    • Handle: RePEc:hal:journl:hal-00826400
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    Cited by:

    1. Mattia Pellegrino & Gianfranco Lombardo & Stefano Cagnoni & Agostino Poggi, 2022. "High-Performance Computing and ABMS for High-Resolution COVID-19 Spreading Simulation," Future Internet, MDPI, vol. 14(3), pages 1-23, March.

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