Acquire basic knowledge on the fundamentals and history of AI Understand the motivations for designing intelligent machines Understand what an agent and an environment are Understand and explain the concepts, principles, strengths and limitations of the two main classical symbolic approach to knowledge representation and decision making: the logic approach, and the probabilistic approach Understand and apply some main algorithms for uninformed and heuristic search Being able to design and implement agents capable of solving some simple tasks
Professore associato in epistemologia, logica e etica dell'intelligenza artificiale / Co-Responsabile corso di laurea in Data Science and Artificial Intelligence - Dipartimento tecnologie innovative