The course aims to introduce advanced technologies of artificial intelligence, such as agent and multi-agent systems, probability-based reasoning, and the fundamentals of logic-based reasoning and decision support systems.
Developments in recent artificial intelligence models and technologies and their applications in the domains of major interest, such as robotics, AI-powered assistants, AI in education, finance, health-care and gaming, will be discussed.
The main and recent ethical, social and epistemological issues associated with the use of large-scale artificial intelligence tools and generative Artificial general intelligence will be discussed.
Developments in recent artificial intelligence models and technologies and their applications in the domains of major interest, such as robotics, AI-powered assistants, AI in education, finance, health-care and gaming, will be discussed.
The main and recent ethical, social and epistemological issues associated with the use of large-scale artificial intelligence tools and generative Artificial general intelligence will be discussed.
Curriculum
teacher profile teaching materials
Core Documentation
Lecture notes by the professor.Reference Bibliography
S.J.Russel, P.Norvig "Artificial Intelligence: A Modern Approach", 4/Ed (2020). Pearson Education.Type of delivery of the course
Lessons and exercisesAttendance
Attendance is not compulsory, but it is strongly recommended.Type of evaluation
Written test. teacher profile teaching materials
Core Documentation
Lecture notes by the professor.Reference Bibliography
S.J.Russel, P.Norvig "Artificial Intelligence: A Modern Approach", 4/Ed (2020). Pearson Education.Type of delivery of the course
Lessons and exercisesAttendance
Attendance is not compulsory, but it is strongly recommended.Type of evaluation
Written test. teacher profile teaching materials
Core Documentation
Lecture notes by the professor.Reference Bibliography
S.J.Russel, P.Norvig "Artificial Intelligence: A Modern Approach", 4/Ed (2020). Pearson Education.Type of delivery of the course
Lessons and exercisesAttendance
Attendance is not compulsory, but it is strongly recommended.Type of evaluation
Written test. teacher profile teaching materials
Core Documentation
Lecture notes by the professor.Reference Bibliography
S.J.Russel, P.Norvig "Artificial Intelligence: A Modern Approach", 4/Ed (2020). Pearson Education.Type of delivery of the course
Lessons and exercisesAttendance
Attendance is not compulsory, but it is strongly recommended.Type of evaluation
Written test.