0000000001026017

AUTHOR

Florian Béhé

showing 3 related works from this author

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

2012

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.

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
researchProduct

SEMANTIC MANAGEMENT OF INTELLIGENT MULTI-AGENTS SYSTEMS IN A 3D ENVIRONMENT

2011

8 pages; International audience; This paper presents a new approach combining the 3D elements composing the environment of mobile agents with semantic descriptors from Building Information Models. Our proposal is based on the IFC standard, which is used in the field of Civil Engineering to build digital models of buildings during the design phase. The semantic of IFC objects composing the 3D environment is used to select and set up 3D objects and elements of simulation scenarios. The result of this process dynamically generates the input files for the JaSIM environment that performs the simulation. These files deserve the representation of the virtual environment in which the simulation is …

Knowledge managementComputer sciencebusiness.industryOntology0211 other engineering and technologiesIntelligent decision support system02 engineering and technologySemantic interoperabilityOntology (information science)Semantic data modelSemantic gridBuilding information modelingHuman–computer interactionInformation model[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Intelligent Multi-Agents SystemsSemantic computing021105 building & construction0202 electrical engineering electronic engineering information engineering[ INFO.INFO-MA ] Computer Science [cs]/Multiagent Systems [cs.MA]020201 artificial intelligence & image processing[INFO.INFO-MA] Computer Science [cs]/Multiagent Systems [cs.MA]businessKnowledge AcquisitionIndustry Foundation Classes
researchProduct

Qualifying Building Information Models with Multi-Agent System

2011

6 pages; International audience; This paper presents a new approach combining the 3D elements composing the environment of mobile agents with semantic descriptors from building information models. Our proposal is based on the IFC standard which is used in the field of Civil Engineering to build digital models of buildings during the design phase. The semantic of IFC objects composing the 3D environment is used to select and set up 3D objects and elements of simulation scenarios. The result of this process dynamically generates the input files to the JaSIM environment that performs the simulation.

Data AcquisitionIntelligent Multi-Agents Systems[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA][ INFO.INFO-MA ] Computer Science [cs]/Multiagent Systems [cs.MA][INFO.INFO-MA] Computer Science [cs]/Multiagent Systems [cs.MA]Industry Foundation Classes
researchProduct