Neuro-symbolic AI systems using 'Partially Explicit Intermediate Representations and Partially Explicit Decision Making' share three common characteristics: they use neural networks to extract features from data, they utilize intermediate representations to bridge the gap between neural embeddings and symbolic logic, and they combine implicit neural representations with explicit symbolic logic for decision-making.

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 (3)

• artificial neural networks concept
• neuro-symbolic systems concept
• symbolic logic concept