Head: Pierre Glize

Problems to solve are constraint satisfaction and optimisation ones which are characterised by interdependencies between parameters, non-linearities and constraint modifications while the resolution is running. Furthermore, multidisciplinary, multi-objective and multiscale dimensions have to be taken into account.

Objectives

In this context, AMAS aim at offering algorithms to solve such multicriteria satisfaction and optimisation problems while extending concepts that are used in the AMAS theory.

Chosen References

• Gauthier Picard, Pierre Glize. Model and Analysis of Local Decision Based on Cooperative Self-Organization for Problem Solving. Dans/In : Multiagent and Grid Systems, IOS Press, Vol. 2(3), 253-265, septembre/September 2006. Résumé/Abstract, BibTex

• Jean-Pierre Mano Pierre Glize. Résolution émergente et collective de problèmes par systèmes multi-agents : principes et applications. Dans/In : Traitement du signal (Méthodologie de la gestion intelligente des senseurs), Gretsi, CNRS, 22(4), 2005. BibTeX