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An Operational Meta-Model for Handling Multiple Scales in Agent-Based Simulations

Abstract : 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.
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Submitted on : Friday, September 28, 2012 - 11:15:32 AM
Last modification on : Thursday, March 31, 2022 - 2:46:01 PM
Long-term archiving on: : Saturday, December 29, 2012 - 4:50:09 AM

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Duc An Vo, Alexis Drogoul, Jean-Daniel Zucker. An Operational Meta-Model for Handling Multiple Scales in Agent-Based Simulations. Research, Innovation, and Vision for the Future (RIVF), Feb 2012, Ho Chi Minh, Vietnam. ⟨10.1109/rivf.2012.6169849⟩. ⟨hal-00736430⟩

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