A comparative study of three neural-symbolic approaches to inductive logic programming

DOI10.1007/978-3-031-15707-3_5OpenAlexW4293180066MaRDI QIDQ2694550

Stefania Monica, Federico Bergenti, Davide Beretta

Publication date: 4 April 2023

Full work available at URL: https://doi.org/10.1007/978-3-031-15707-3_5

zbMATH Keywords

artificial intelligenceinductive logic programmingmachine learningneural-symbolic learning

Mathematics Subject Classification ID

Cellular automata (computational aspects) (68Q80)

Cites Work

• Meta-interpretive learning of higher-order dyadic datalog: predicate invention revisited
• Inductive logic programming at 30
• Learning Explanatory Rules from Noisy Data
• Inductive logic programming

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