The aim of the course is the acquisition of formal tools to model strategic interactions between two or more players, typically rational individuals who make decisions in order to optimize their subjective goals. During the course, cooperative and non-cooperative games will be studied, starting from applications in the social, political or economic fields, to arrive at applications in various fields of artificial intelligence, from the training of neural networks to reinforcement learning in multi-agent systems.
scheda docente
materiale didattico
Fruizione: 20801762 METODI DI SUPPORTO ALLE DECISIONI MANAGERIALI in Ingegneria gestionale e dell'automazione LM-32 N0 DAMIANI STEFANO