AASS Seminar - From Statistical Relational to Neural Symbolic Artificial Intelligence
18 February 2021 13:00 Zoom
For more information about the AASS Seminar Series, please contact:
Alessandro Saffiotti
The research centre AASS arranges a seminar with Luc De Raedt, Orebro University and KU Leuven (Belgium).
Abstract
A central challenge to contemporary AI is to integrate learning and reasoning. The integration of learning and reasoning has been studied for decades already in the fields of statistical relational artificial intelligence and probabilistic programming. StarAI has focussed on unifying logic and probability, the two key frameworks for reasoning, and has extended probabilistic logics with machine learning principles. I will argue that StarAI and Probabilistic Logics form an ideal basis for developing neuro-symbolic artificial intelligence techniques. Thus neuro-symbolic computation = StarAI + Neural Networks.
Many parallels will be drawn between these two fields and will be illustrated using the Deep Probabilistic Logic Programming language DeepProbLog. I will also also outline some plans for applying this to autonomous sensor systems.