Designing Co-simulation with Multi-agent Tools: A Case Study with NetLogo

Autor: Laurent Ciarletta, Thomas Paris, Vincent Chevrier
Přispěvatelé: SIMulating and Building IOT (SIMBIOT), Department of Networks, Systems and Services (LORIA - NSS), Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Francesco Belardinelli, Estefanía Argente
Rok vydání: 2018
Předmět:
Zdroj: Multi-Agent Systems and Agreement Technologies ISBN: 9783030017125
EUMAS/AT
Lecture Notes in Computer Science
15th European Conference on Multi-Agent Systems (EUMAS 2017)
15th European Conference on Multi-Agent Systems (EUMAS 2017), Dec 2017, Évry, France. pp.253-267, ⟨10.1007/978-3-030-01713-2_18⟩
DOI: 10.1007/978-3-030-01713-2_18
Popis: International audience; Multi-agent approach has demonstrated its benefits for complex system modeling and simulation. This article focuses on how to represent and simulate a system as a set of several interacting simulators, with a focus on the case of multi-agent simulators. This raises a major challenge: multi-agent simulators are not conceived (in general) to be used with other simulators. This article presents a preliminary study about the rigorous integration of multi-agent simulators into a co-simulation platform. The work is grounded on the Net-Logo simulator and the co-simulation platform mecsyco.
Databáze: OpenAIRE