Chairholder | Marco Gori

Marco Gori is full professor of computer science at the University of Siena  and head of SAILab (Siena Artificial Intelligence Lab). He is also a member of the MAASAI team, INRIA. His research interests are in the field of artificial intelligence, with emphasis on machine learning, vision, and game playing. In the last few years, he has been mainly involved in the unification of computational processes of reasoning and learning. He is mostly driven by the principle that the the emergence of cognition is rooted in natural laws of computation.  

Learning and inference are traditionally regarded as the two opposite, yet complementary and puzzling components of intelligence. In the last few years, Prof. Gori has been carrying out research on constrained based models of the environmental agent interactions, with the main purpose of unifying learning, inference, and reasoning within the same mathematical framework. The unification is based on the abstract notion of constraint, which provides a representation of knowledge granules, gained from the interaction with the environment, as well as of supervised examples. The theory offers a natural bridge between the formalization of knowledge, expressed by logic formalisms, and the inductive acquisition of concepts from data.