Study of intelligent agents: problem solving, length and width search algorithms, game programming: minimax, exptimax, knowledge and reasoning, planning, learning, natural language processing, vision, robotics, inference mechanisms, Bayes networks, Markov processes, Reinforcement learning and their algorithms: TD and Q.

Temps présentiel : 35 heures

Charge de travail étudiant : 65 heures

Méthode(s) d'évaluation : Examen final, Travaux pratiques