Symbolic priors are introduced during training in reasoning for learning systems, often through loss regularization, constrained optimization, or differentiable logic encodings, to guide neural networks toward semantically consistent predictions.

Authors

• Person: Not available Organization: Springer
  A Comprehensive Review of Neuro-symbolic AI for Robustness ...

Sources

• A Comprehensive Review of Neuro-symbolic AI for Robustness ... link.springer.com Springer via serper

Referenced by nodes (1)

• artificial neural networks concept