Probabilistic and logical reasoning are the cornerstones of many developments in artificial intelligence. Over the past 20 years, there has been a lot of attention to combining these two forms of reasoning. This has resulted in a rich variety of representations, languages and systems for dealing with probabilistic logical reasoning. These approaches have also been applied in machine learning context. In the first part of this talk, I shall provide a gentle introduction to such logics using ProbLog and ProPPR.
In the second part, I shall illustrate their use and promise on two challenging applications : in bioinformatics and in recommender systems. The first is based on ongoing work in Leuven with Dries Van Daele, the second on ongoing work with Sirawit Sopchoke and Prof. Masayuki Numao from ISIR, Osaka.