Figure 10 in the source text illustrates a neuro-symbolic decision stack where raw sensory input is processed by a Neural Perception module into interpretable Concepts, which then feed into a Rules layer to enforce domain-specific logic before a decision is made. The diagram also shows human control channels that allow a domain expert to override or relabel individual concepts, redirect rule evaluation, and critique the Explanation Interface (such as saliency maps, concept heat maps, or rule traces) to refine rule weights and concept classifiers.

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)

• concepts concept
• neural perception module concept