DEcision making, Intelligent Systems and Operations Research

Head : Patrice Perny

DESIR team research activities are focused on decision making and optimization problems in the fields of Artificial Intelligence and Operations Research.

DESIR research activites range from theoretical research (formal models and axioma- tic analyses, algorithms and complexity) to the design of intelligent systems (adaptive agents, cognitive multiagent systems, optimization and decision systems, tutoring systems) in the perspective of indus- trial applications.
DESIR department is organized in five teams:

• Operations Reseach (Philippe Chrétienne),
• Decision (Patrice Perny),
• Multi-agent Systems (Amal El Fallah Seghrouchni),
• AnimatLab (Jean-Arcady Meyer),
• MOCAH (Modèles et Outils en ingénierie des Connaissances pour l'Apprentissage Humain) (Jean-Marc Labat).

Within the department, the main axes for cooperation between teams concern multiobjective combinatorial optimization (DECISION/ RO), decision theoretic planning (DECISION/ANIMAT/SMA) and adaptive agents (ANIMAT/SMA/MOCAH). The activities of the team in combinatorial optimization concern, on the one hand, the study of particular classes of scheduling problems, and on the other, studies about computational complexity and the investigation of transition phase thresholds in combinatorial problems.Research performed in decision aiding is concerned with the development of new formal models and algorithms for decision under uncertainty, multi-criteria decision making and context-based decision aiding. The results achieved can be arranged according to the following themes:The activities of the MOCAH group come within the domain of computer-based environments for human learning.

The main application domains are: mobile agents, ambient intelligence, animated conversational agents, service oriented applications, web services, business process management, simulation; interactive systems, games.