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

Florian Béhé (1, 2) , Thomas Durif (1) , Christophe Nicolle (1) , Stéphane Galland (2) , Nicolas Gaud (2) , Abderrafiaa Koukam (2)

1 Le2i - Laboratoire Electronique, Informatique et Image [UMR6306]
2 SET - Laboratoire Systèmes et Transports

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.

Mots clés: Multiagent Systems; IFC; Ontology; Semantic; Induction; Recommendation

Domaines: Système multi-agents [cs.MA]

Florian Béhé, Thomas Durif, Christophe Nicolle, Stéphane Galland, Nicolas Gaud, et al.. Ontology-based multiagent systems using Inductive Recommendations - A new approach to qualify building use during the Design phase. 12th International Conference on Design & Decision Support Systems in Architecture and Urban Planning, Aug 2012, Eindhoven, Netherlands. ⟨hal-00742904⟩