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      <ref-type name="Book Section">5</ref-type>
      <work-type>OS CH : Chapitres d'ouvrages scientifiques</work-type>
      <contributors>
        <authors>
          <author>
            <style face="normal" font="default" size="100%">Duc-An Vo</style>
          </author>
          <author>
            <style face="bold" font="default" size="100%">Drogoul, Alexis</style>
          </author>
          <author>
            <style face="bold" font="default" size="100%">Zucker, Jean-Daniel</style>
          </author>
        </authors>
      </contributors>
      <titles>
        <title>An operational meta-model for handling multiple scales in agent-based simulations</title>
        <secondary-title>2012 IEEE RIVF International Conference on Computing and Communication Technologies, Research, Innovation, and Vision for the Future</secondary-title>
        <secondary-title>International Conference on Computing and Communication Technologies, Research, Innovation, and Vision for the Future</secondary-title>
      </titles>
      <pages>6</pages>
      <dates>
        <year>2012</year>
        <pub-dates>
          <date>2012/02/27-03/01</date>
        </pub-dates>
      </dates>
      <pub-location>Piscataway</pub-location>
      <publisher>IEEE</publisher>
      <call-num>fdi:010079283</call-num>
      <language>ENG</language>
      <electronic-resource-num>10.1109/rivf.2012.6169849</electronic-resource-num>
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          <url>https://www.documentation.ird.fr/hor/fdi:010079283</url>
        </related-urls>
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          <url>https://www.documentation.ird.fr/intranet/publi/depot/2020-10-22/010079283.pdf</url>
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      <remote-database-provider>Horizon (IRD)</remote-database-provider>
      <abstract>There is a growing interest for multi-scale agent-based modeling. The research community has made several efforts in proposing agent-based simulators or meta-models, which accommodate for multi-scale agent-based modeling. Unfortunately, the proposed simulators are often tight to a specific model. And the proposed meta-models exist only as formal proposals without a concrete implementation supported by an operational modeling language. The lack of a common operational meta-model and an associated operational modeling language raises the question of reusability and increase the danger of "re-inventing the wheel" when one develops new models. Moreover, the operational semantics of such multi-scale models may differ without having defined a solid theoretical ground. Our research aims at proposing a generic meta-model for multi-scale agent-based modeling. In our approach, we revisit the fundamental notions of agent modeling (agent/environment/scheduler) in order to support a recursive representation of these notions in an agent-based model. To test the operational semantic of the proposed model, we implement this meta-model as an agent-based modeling language in the GAMA simulation platform. This paper presents such a meta-model and how its concepts can be used to formalize multi-scale agent-based models.</abstract>
      <custom6>122</custom6>
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