Knowledge representation, planning and reasoning
Enseignant responsable :
Volume horaire : 24Description du contenu de l'enseignement :
The course introduces techniques for representing and reasoning over knowledge information. 1. Reasoning about Belief, Knowledge, and Preferences
- plausible and nonmonotonic reasoning - reasoning about belief and knowledge (single-and multiple-agent), belief change - case-based reasoning, analogical reasoning - preference languages, reasoning about preferences - reasoning and decision under uncertainty, graphical models
2. Planning
- reasoning about action, action languages for planning - algorithms for classical planning - introduction to the planning description language PDDL - short introduction to decision theory and decision-theoretic planning - planning under uncertainty and full observability: Markov decision processes - planning under partial observabilty: partially observable Markov decision processes - multi-agent planning
Pré-requis recommandés :
none
Pré-requis obligatoires :
none.
Compétence à acquérir :
N/A
Mode de contrôle des connaissances :
written exam.