Work

From Statistical Relational to Neuro-Symbolic Artificial Intelligence

Year: 2020

Type: conference-paper

Abstract: Neuro-symbolic and statistical relational artificial intelligence both integrate frameworks for learning with logical reasoning. This survey identifies several parallels across seven different dimensions between these two fields. These cannot only be used to characterize and position neuro-symbolic artificial intelligence approaches but also to identify a number of directions for further research.

Source: International Joint Conference on Artificial Intelligence

DOI: 10.24963/ijcai.2020/688

Authors: Luc de Raedt, Sebastijan Dumančić, Robin Manhaeve, Giuseppe Marra

Institutions: Örebro University, KU Leuven

Language: English

Topic: Logic, Reasoning, and Knowledge

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funders: European Commission, Fonds Wetenschappelijk Onderzoek, Knut och Alice Wallenbergs Stiftelse, Vlaamse regering

Awards: G1370813895, G434337789