Sen et al. (2022) proposed an LNN-based inductive logic programming method that learns interpretable logic rules from noisy, real-world data by generating rules as output based on structured input data.

Authors

• Person: Not available Organization: arXiv
  Neuro-Symbolic AI: Explainability, Challenges, and Future Trends

Sources

• Neuro-Symbolic AI: Explainability, Challenges, and Future Trends arxiv.org arXiv via serper

Referenced by nodes (2)

• logic rules concept
• Inductive Logic Programming (ILP) concept