arXiv · 2405.09521
Declarative Design of Neural Predicates in Neuro-Symbolic Systems
Abstract
Neuro-symbolic systems (NeSy), which claim to combine the best of both learning and reasoning capabilities of artificial intelligence, are missing a core property of reasoning systems: Declarativeness. The lack of declarativeness is caused by the functional nature of neural predicates inherited from neural networks. We propose and implement a general framework for fully declarative neural predicates, which hence extends to fully declarative NeSy frameworks. We first show that the declarative extension preserves the learning and reasoning capabilities while being able to answer arbitrary queries while only being trained on a single query type.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Tilman Hinnerichs, Robin Manhaeve, Giuseppe Marra, Sebastijan Dumancic. 2024-05-15. Declarative Design of Neural Predicates in Neuro-Symbolic Systems. https://arxiv.org/abs/2405.09521
Cite the original work for its findings. Save a collection to share your selection of sources.