From Biological to Urban Cells: Lessons from Three Multilevel Agent-Based Models

  • Javier Gil-Quijano
  • Thomas Louail
  • Guillaume Hutzler
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7057)


Modeling complex systems often implies to consider entities at several levels of organization and levels of scales. Taking into account these levels, their mutual interactions, and the organizational dynamics at the interface between levels, is a difficult problem, for which the proposed solutions are often related to a specific disciplinary field or a particular case study. In order to develop a broader methodology for designing multilevel models, we propose an analytical framework of existing approaches, drawn in particular from the study of three examples in biology and geography.


Multiagent System Multilevel Model Microscopic Level Aggregate Model Mesoscopic Level 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Javier Gil-Quijano
    • 1
  • Thomas Louail
    • 2
    • 3
  • Guillaume Hutzler
    • 2
  1. 1.CEA, LIST, LIMAGif-sur-Yvette CEDEXFrance
  2. 2.IBISC LaboratoryEvry-Val d’Essonne UniversityEvryFrance
  3. 3.Geographie-Cités LaboratoryCNRS, Paris 1-Paris 7 UniversitiesParisFrance

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