reasoning ↔ Neuro-Symbolic Learning

Relations (1)

related 2.00 — strongly supporting 3 facts

Neuro-Symbolic Learning is fundamentally linked to reasoning as it aims to integrate neural models with symbolic logic to enhance cognitive capabilities, as evidenced by the frameworks and discussions in [1], [2], and [3].

Facts (3)

Sources

Neuro-Symbolic AI: Explainability, Challenges, and Future Trends arxiv.org arXiv 2 facts

referenceFadi Al Machot (2023) introduced ASPER, a neural-symbolic approach for enhanced reasoning in neural models, published as an arXiv preprint.

referenceStehr et al. (2022) proposed a probabilistic approximate logic framework for neuro-symbolic learning and reasoning.

The Synergy of Symbolic and Connectionist AI in LLM-Empowered ... arxiv.org arXiv 1 fact

referenceArtur d’Avila Garcez et al. discussed the contributions and challenges of neural-symbolic learning and reasoning.