Learning-reasoning architectures are typically realized via joint training mechanisms or differentiable reasoning frameworks, enabling closed-loop optimization across perception and reasoning 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 (1)

• perception concept