A primary driver for the integration of neural and symbolic AI is the quest for explainability, as neural networks are often criticized as 'black boxes' with internal decision processes that are difficult to interpret and debug, whereas symbolic representations allow for explicit explanations and traceable decision paths.

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 (3)

• artificial neural networks concept
• explainability concept
• symbolic representation concept