Transparent, explainable reasoning pathways for knowledge representation
Establish transparent, explainable reasoning pathways in Neuro-Symbolic knowledge representation that make intermediate symbolic operations and neural contributions traceable and understandable to users.
References
Open research questions remain around how Neuro-Symbolic AI can enhance the dynamic interpretation and manipulation of symbols, develop meta-cognitive abilities to monitor and adjust reasoning processes, and ensure transparent, explainable reasoning pathways for more human-like, adaptable, and robust knowledge representation.
— Neuro-Symbolic AI in 2024: A Systematic Review
(2501.05435 - Colelough et al., 9 Jan 2025) in Section 4.1 Knowledge Representation