Logical Neural Networks (LNN) achieve high interpretability because their calculation process is equivalent to performing a series of logical judgments, where the output of each neuron represents the truth value of a logical proposition and reflects how that value was derived from the input.

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)

• Logical Neural Networks concept