<?xml version="1.0"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>An operational meta-model for handling multiple scales in agent-based simulations</dc:title>
  <dc:title>2012 IEEE RIVF International Conference on Computing and Communication Technologies, Research, Innovation, and Vision for the Future</dc:title>
  <dc:creator>Duc-An Vo</dc:creator>
  <dc:creator>/Drogoul, Alexis</dc:creator>
  <dc:creator>/Zucker, Jean-Daniel</dc:creator>
  <dc:description>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.</dc:description>
  <dc:publisher>IEEE</dc:publisher>
  <dc:date>2012</dc:date>
  <dc:type>text</dc:type>
  <dc:identifier>https://www.documentation.ird.fr/hor/fdi:010079283</dc:identifier>
  <dc:identifier>fdi:010079283</dc:identifier>
  <dc:identifier>Duc-An Vo, Drogoul Alexis, Zucker Jean-Daniel. An operational meta-model for handling multiple scales in agent-based simulations. In : . 2012 IEEE RIVF International Conference on Computing and Communication Technologies, Research, Innovation, and Vision for the Future IEEE, 2012, 6  International Conference on Computing and Communication Technologies, Research, Innovation, and Vision for the Future, Ho Chi Minh Ville (VNM), 2012/02/27-03/01</dc:identifier>
  <dc:language>EN</dc:language>
</oai_dc:dc>
