Semantic oriented data structuration for MABS application to BIM: Short paper

Abstract

This paper presents a multiagent-based simulation approach to qualify the usage of buildings from the design phase. Our approach combines ontology and evolution process based on machine learning algorithms. The ontology relies on semantic data structures for the representation of environment components, agent knowledge and all data generated during the simulation. © 2013 Springer-Verlag.