From Statistical Relational to Neural Symbolic Artificial Intelligence

The integration of learning and reasoning is one of the key challenges in artificial intelligence and machine learning today. The area neural symbolic computation tackles this challenge by integrating symbolic reasoning with neural networks. This tutorial will provide an introduction to Neural Symbolic Artificial Intelligence (NeSy) by drawing several parallels with another field that has a rich tradition in integrating learning and reasoning, namely Statistical Relational Artificial Intelligence (StarAI). The tutorial will discuss seven dimensions for introducing and categorizing several StarAI and NeSy approaches. By positioning a wide variety of systems along these dimensions, the tutorial makes it possible to underline common patterns and similarities between them. Interesting opportunities for further research will be described, by looking at areas across the dimensions that have not yet been covered.

Papers

From Statistical Relational to Neuro-Symbolic Artificial Intelligence Luc de Raedt, Sebastijan Dumančić, Robin Manhaeve, Giuseppe Marra paper

(long-version) From Statistical Relational to Neural-Symbolic Artificial Intelligence: a Survey. Giuseppe Marra, Sebastijan Dumančić, Robin Manhaeve, Luc De Raedt paper