The semantic reinforcement approach proposed by Ahmed et al. (2023) involves building logic circuits, calculating the probabilities of logic constraints, and using neural network outputs to estimate the likelihood of different logic states.

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 (1)

• artificial neural networks concept