The candidate will propose and evaluate Web-based multi-agent and formal knowledge models to allow on the one hand the cooperation of distributed AIs addressing different distribution reasons (e.g. computing power, resource availability, legal constraints, etc.) and, on the other hand, the combining of different AI methods (e.g. rule-based, connectionist, evolutionary, etc.) . The goal to perpetually enrich and refine the knowledge collectively maintained by the agents.

The subject includes two challenging research topics:

  • Formulate and formalize ontology-oriented knowledge representation of AI data (typically inputs and outputs), metadata (e.g. parameters, provenance, statistics, uncertainty, traces) but also configurations and more complex resources (e.g. schemata, embeddings, mappings) to support AI interoperability and traceability at a knowledge level.
  • Design and test a multi-agent model and protocols to orchestrate the interactions between agents embedding different methods of artificial intelligence with the aim of ensuring an optimized collaboration to augment and improve the knowledge shared in the system.

Mots-clés
Multi-agent Systems; Semantic Web; Systèmes Multi-Agents; web; web sémantique
Établissement
Inria Sophia Antipolis - Méditerranée
06902 Sophia Antipolis  
Site Web
http://univ-cotedazur.fr/institutes/3ia/contents/fichiers/postdoc08Gandon.pdf
Langues obligatoires
Anglais; Français
Type de contrat
CDD
Type de poste
Postdoc
Prérequis

Knowledge based systems, Multi-Agent Systems, Web architecture, Semantic Web, Artificial Intelligence

Salaire indicatif
according to experience
Date limite
02/03/2020
Informations de contact

Fabien Gandon, fabien.gandon@inria.fr http://fabien.info