6533b7cffe1ef96bd1259576
RESEARCH PRODUCT
Semantically enriched informed environment for multi-agent simulation : application to simulation in 3D virtual environment
Thomas Durifsubject
Agents intelligents[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]Multi-agents based simulations[INFO.INFO-WB] Computer Science [cs]/WebOntology[INFO.INFO-WB]Computer Science [cs]/WebSmart agentsOntologieSmart environment[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]ReasonerTriplestoreRaisonneurEnvironnement intelligentWeb sémantiqueSemantic webSimulation multi-agentsdescription
This thesis focuses on multi-agent simulation applied to the simulation of individuals in virtual 3D buildings. To do this, our work suggests to capitalize on the experience gained in the field of semantic web ontologies and inference engines to facilitate the design and development of intelligent behavior for agents operating in virtual worlds. The goal is to provide to agents a generic approach to managing their representation of the world and reason about this representation. For this, the central problem is based on the definition of a decidable ontology modeling all of the knowledge contained in the virtual 3D environment to enrich semantically the environment of a multi-agent simulation. This decidable ontology aims to provide an opportunity to integrate semantic inference engine at the heart of modeling behavior of mobile agents in a virtual environment.
year | journal | country | edition | language |
---|---|---|---|---|
2014-10-17 |