My research focuses on modeling Artificial Agents in Multi-Agent Systems (MAS) applied in mobile robotics and transportation systems.
I am interested in models allowing Agents to perform tasks (planing, scheduling and coordination) or to simulate behaviors similar to real elements in complex systems. The approaches I defend are based on Markov Chain formalisms (automata with stochastic transitions). The goal consists in defining and/or learning state variables and action rules to allow agents to reach their goals or to produce expected behaviors.