A Methodology to Engineer and Validate Dynamic Multi-level Multi-agent Based Simulations

نویسندگان

  • Jean-Baptiste Soyez
  • Gildas Morvan
  • Daniel Dupont
  • Rochdi Merzouki
چکیده

This article proposes a methodology to model and simulate complex systems, based on IRM4MLS, a generic agent-based meta-model able to deal with multi-level systems. This methodology permits to engineer dynamic multi-level agent-based models, to represent complex systems over several scales and domains of interest. Its goal is to simulate a phenomenon using dynamically the lightest representation to save computer resources without loss of information. This methodology is based on two mechanisms: (1) the activation or deactivation of agents representing di↵erent domain parts of the same phenomenon and (2) the aggregation or disaggregation of agents representing the same phenomenon at di↵erent scales.

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تاریخ انتشار 2012