The neuro-symbolic pipeline for handling uncertainty consists of three stages: (1) the Neural Module processes raw inputs to generate probabilistic outputs like soft class labels or confidence scores; (2) the Probabilistic Logic layer receives these outputs, where logical rules are assigned probabilistic weights and soft constraints to account for noise or ambiguity; (3) the Symbolic Reasoner performs rule-based inference using these uncertain predicates, and the final decision is validated against confidence thresholds.

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)

• neural perception module concept