probabilistic reasoning ↔ deep learning

Relations (1)

related 2.00 — strongly supporting 3 facts

Deep learning and probabilistic reasoning are linked as core components of neuro-symbolic AI research [1] and are explicitly combined in hybrid architectures proposed for future systems [2]. This integration is further evidenced by research papers such as 'Probabilistic reasoning via deep learning: Neural association models' [3].

Facts (3)

Sources

A Comprehensive Review of Neuro-symbolic AI for Robustness ... link.springer.com Springer 2 facts

claimA core theme in neuro-symbolic AI research is the integration of formal logic, probabilistic reasoning, and deep learning into unified architectures.

perspectiveThe authors of the review article suggest that future neuro-symbolic systems will likely involve hybrid architectures that combine formal logic, probabilistic reasoning, and deep learning.

Knowledge Graphs: Opportunities and Challenges - Springer Nature link.springer.com Springer 1 fact

referenceLiu Q, Jiang H, Evdokimov A et al. published 'Probabilistic reasoning via deep learning: Neural association models' as an arXiv preprint in 2016.