A gentle introduction to Probabilistic Logic Programming.

This time we are lucky to host Søren Mørk and Christian Theil Have, who would like to present a gentle introduction to Probabilistic Logic Programming.

We hope to see you there! :)

Abstract:
Probabilistic programming is currently attracting a lot of attention. Not much of the attention, however, is directed towards the logic programming branch of probabilistic programming. Probabilistic logic programming has roots going back at least three decades. It is a disciplined approach to probabilistic programming, with strong theoretical foundations and great modeling capabilities, that is particularly well-suited for problems with discrete outcome spaces. Here, we give a general introduction to probabilistic logic programming, with examples using PRISM, a probabilistic logic programming language and machine learning system.