Interoperability based Dynamic Data Mediation using Adaptive Multi-Agent Systems for Co-Simulation

Yassine Motie (1, 2) , Elhadi Belghache (3) , Alexandre Nketsa (2) , Jean-Pierre Georgé (3)

1 IRIT-ELIPSE - Etude de L’Interaction Personne SystèmE
2 LAAS-ISI - Équipe Ingénierie Système et Intégration
3 IRIT-SMAC - Systèmes Multi-Agents Coopératifs

A co-simulation is the coupling of several simulation tools where each one handles part of a modular problem which allows each designer to interact with the complex system in order to retain its business expertise and continue to use its own digital tools. For this co-simulation to work, the ability to exchange data between the tools in meaningful ways, known as Interoperability, is required. This paper describes the design of such interoperability based on the FMI (Functional Mock up Interface) standard and a dynamic data mediation using adaptive multi-agent systems for a co-simulation. It is currently being applied in neOCampus, the ambient campus of the University of Toulouse III-Paul Sabatier.

Mots clés: Adaptive Multi-Agent Systems; Interoperability; Mediation; Co-Simulation

Domaines: Informatique [cs]; Modélisation et simulation; Intelligence artificielle [cs.AI]; Système multi-agents [cs.MA]

Yassine Motie, Elhadi Belghache, Alexandre Nketsa, Jean-Pierre Georgé. Interoperability based Dynamic Data Mediation using Adaptive Multi-Agent Systems for Co-Simulation. High Performance Computing and Simulation (HPCS 2018), Jul 2018, Orléans, France. 7p. ⟨hal-01822421⟩