The Belief Functions Theory represents a new approach devised to model and manage imprecise information in Artificial and Computational Intelligence. The theory of belief functions is now well established as a general framework for reasoning with uncertainty, and has well understood connections to other frameworks such as probability, possibility and imprecise probability theories. The field of application of this theory is very large. The aim of this first spring school is to promote this theory and to introduce interested students and researchers to the basics of Belief Functions, both theoretical and applied. The school is organized into several lectures given by international experts. They will bring both theoretical and practical backgrounds. This Spring School will take place at Autrans. Program and informations
