Probabilistic Logics to Neuro-Symbolic Artificial Intelligence

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 this probabilistic logics machine learning principles.

Prof. Luc De Raedt (full professor at the Department of Computer Science, KU Leuven (Belgium), and director of Leuven.AI) 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.Speaker.

Tuesday, 06-07-2022, 05:00 p.m. – 06:00 p.m., virtual event

Further details:

This is an event of I-AIDA – International Artificial Intelligence Doctoral Academy.