Publications des scientifiques de l'IRD

Duc-An Vo, Drogoul Alexis, Zucker Jean-Daniel. (2012). 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. Piscataway : IEEE, 6 p. International Conference on Computing and Communication Technologies, Research, Innovation, and Vision for the Future, Ho Chi Minh Ville (VNM), 2012/02/27-03/01. ISBN 978-1-4673-0308-8.

Titre du document
An operational meta-model for handling multiple scales in agent-based simulations
Année de publication
2012
Type de document
Partie d'ouvrage
Auteurs
Duc-An Vo, Drogoul Alexis, Zucker Jean-Daniel
In
2012 IEEE RIVF International Conference on Computing and Communication Technologies, Research, Innovation, and Vision for the Future
Source
Piscataway : IEEE, 2012, 6 p. ISBN 978-1-4673-0308-8
Colloque
International Conference on Computing and Communication Technologies, Research, Innovation, and Vision for the Future, Ho Chi Minh Ville (VNM), 2012/02/27-03/01
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.
Plan de classement
Informatique [122]
Localisation
Fonds IRD [F B010079283]
Identifiant IRD
fdi:010079283
Contact