From Statistical Relational to Neuro-Symbolic Artificial Intelligence
Luc De Raedt, Sebastijan Dumančić, Robin Manhaeve, Giuseppe Marra
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.
Topics & Concepts
ParallelsComputer scienceArtificial intelligenceStatistical relational learningSymbolic artificial intelligenceArtificial neural networkThe SymbolicArtificial Intelligence SystemCognitive scienceRelational databasePsychologyData miningEngineeringPsychoanalysisMechanical engineeringNeural Networks and ApplicationsBayesian Modeling and Causal InferenceAI-based Problem Solving and Planning