The learning-reasoning paradigm embodies a bidirectional interplay where neural and symbolic modules iteratively inform and refine each other, with neural components extracting structured hypotheses and symbolic modules performing inference and feeding back structured signals.

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 (2)

• inference concept
• neural perception module concept