@incollection{fdi:010079283,
  title = {{A}n operational meta-model for handling multiple scales in agent-based simulations},
  author = {{D}uc-{A}n {V}o and {D}rogoul, {A}lexis and {Z}ucker, {J}ean-{D}aniel},
  editor = {},
  language = {{ENG}},
  abstract = {{T}here is a growing interest for multi-scale agent-based modeling. {T}he research community has made several efforts in proposing agent-based simulators or meta-models, which accommodate for multi-scale agent-based modeling. {U}nfortunately, the proposed simulators are often tight to a specific model. {A}nd the proposed meta-models exist only as formal proposals without a concrete implementation supported by an operational modeling language. {T}he 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. {M}oreover, the operational semantics of such multi-scale models may differ without having defined a solid theoretical ground. {O}ur research aims at proposing a generic meta-model for multi-scale agent-based modeling. {I}n 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. {T}o test the operational semantic of the proposed model, we implement this meta-model as an agent-based modeling language in the {GAMA} simulation platform. {T}his paper presents such a meta-model and how its concepts can be used to formalize multi-scale agent-based models.},
  keywords = {},
  booktitle = {2012 {IEEE} {RIVF} {I}nternational {C}onference on {C}omputing and {C}ommunication {T}echnologies, {R}esearch, {I}nnovation, and {V}ision for the {F}uture},
  numero = {},
  pages = {6},
  address = {{P}iscataway},
  publisher = {{IEEE}},
  series = {},
  year = {2012},
  DOI = {10.1109/rivf.2012.6169849},
  ISBN = {978-1-4673-0308-8},
  URL = {https://www.documentation.ird.fr/hor/fdi:010079283},
}