6533b836fe1ef96bd12a05d6

RESEARCH PRODUCT

Ontology-based multiagent systems using Inductive Recommendations - A new approach to qualify building use during the Design phase

Florian BéhéThomas DurifChristophe NicolleStéphane GallandNicolas GaudAbderrafiaa Koukam

subject

Ontology[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA][ INFO.INFO-MA ] Computer Science [cs]/Multiagent Systems [cs.MA]IFC[INFO.INFO-MA] Computer Science [cs]/Multiagent Systems [cs.MA]RecommendationSemanticMultiagent SystemsInduction

description

International audience; In this paper we propose a new metamodel to represent data for mutliagent-based simulations. Using this model, we also propose a method to perform the qualification of a building as soon as it is designed. The metamodel relies on semantic structures and allows representing both agents and environment. The representation of the environment use two kind of data: semantic and geometry. The qualification relies, for its part, on reasoning systems.

https://hal.archives-ouvertes.fr/hal-00742904/file/DDSS2012_BA_hA_Durif_Nicolle_Galland_Gaud_Koukam.pdf