Neuro-symbolic approaches facilitate lifelong learning and knowledge transfer because symbolic AI systems can retain, utilize, and update structured knowledge without retraining the entire system, whereas neural models often require retraining or fine-tuning to adapt to new tasks.

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)

• neuro-symbolic systems concept
• Symbolic Artificial Intelligence concept
• neural network models concept