Room “Aula T014” - Abacus Building (U14)
A Unified View of Modern Symbolic Learning from Data to Logic
Speaker
Prof. Guido Sciavicco
Università degli Studi di Ferrara
Abstract
In this seminar, we shall give a general overview of the current status of symbolic learning and a logical description of data. We shall argue how the fundamental data types (tabular, temporal, spatial, graph, and text) can benefit from a unified and generalized view that reflects the idea of modal logic as a generalized tool to describe such data. Then, we shall present the current status of a unique open-source tool currently under development that allows one to carry a learning journey from raw data to logical rules, following all standard, typical data science steps, but with a logical twist. Finally, we shall present examples of such journeys taken from real-world scenarios from the medical and industrial domains.
Short Bio:
Guido Sciavicco holds a Bachelor's, a Master's, and a PhD in Computer Science from the University of Udine (Italy). He has been working as a junior and senior Post-Doc researcher at the University of Murcia (Spain), and as a visiting assistant professor at the University for Information Science and Technology (Macedonia), as well as the Middle East Technical University (Cyprus). Now, he is an Associate Professor at the University of Ferrara. Guido Sciavicco is also the responsible person of the Applied Computational Logic and Artificial Intelligence Lab
contact person for this Seminar: ioneleduard.stan@unimib.it