%0 Book Section
%9 OS CH : Chapitres d'ouvrages scientifiques
%A Duc-An Vo
%A Drogoul, Alexis
%A Zucker, Jean-Daniel
%T An operational meta-model for handling multiple scales in agent-based simulations
%B 2012 IEEE RIVF International Conference on Computing and Communication Technologies, Research, Innovation, and Vision for the Future
%C Piscataway
%D 2012
%L fdi:010079283
%G ENG
%I IEEE
%@ 978-1-4673-0308-8
%P 6
%R 10.1109/rivf.2012.6169849
%U https://www.documentation.ird.fr/hor/fdi:010079283
%> https://www.documentation.ird.fr/intranet/publi/depot/2020-10-22/010079283.pdf
%W Horizon (IRD)
%X 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.
%B International Conference on Computing and Communication Technologies, Research, Innovation, and Vision for the Future
%8 2012/02/27-03/01
%$ 122