Department Colloquium, Computer Science Department, Oregon State University; Talk can be viewed at https://www.youtube.com/watch?v=oNEtju9hE78Recently, there has been a lot of attention for statistical relational learning and probabilistic programming, which provide rich representations for coping with uncertainty, with structure and for learning. In this talk I shall focus on probabilistic *logic* programming languages, which naturally belong to both of these paradigms as they combine the power of a programming language with a possible world semantics. They are typically based on Sato’s distribution semantics and they have been studied for over twenty years now. In this talk, I shall introduce the concepts underlying probabilistic logic p...