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From Probabilistic Logics to Neuro-Symbolic Artificial Intelligence

Offered By: RWTH Center for Artificial Intelligence via YouTube

Tags

Machine Learning Courses Logic Courses Probability Courses Reasoning Courses Probabilistic Programming Courses

Course Description

Overview

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Explore the integration of learning and reasoning in artificial intelligence through this 46-minute lecture by Prof. Luc De Raedt from KU Leuven. Delve into the fields of statistical relational artificial intelligence and probabilistic programming, examining how they unify logic and probability. Discover the connections between StarAI, probabilistic logics, and neuro-symbolic artificial intelligence techniques. Learn about the Deep Probabilistic Logic Programming languages DeepProbLog and DeepStochLog, which illustrate the parallels between these fields. Gain insights from a renowned expert in machine learning, data mining, and artificial intelligence, and understand the potential of combining StarAI with neural networks to advance neuro-symbolic computation.

Syllabus

AIC: From Probabilistic Logics to Neuro-Symbolic Artificial Intelligence (Prof. Luc De Raedt)


Taught by

RWTH Center for Artificial Intelligence

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