Answer Set Programming Energised! End-to-End Neurosymbolic Reasoning and Learning with ASP and Energy Based Models

Jul 10, 2026

A new neurosymbolic methodology integrates answer set programming (ASP) with energy-based models, enabling joint optimization in continuous latent space. The approach supports non-monotonic inference and background knowledge, and is demonstrated on MNIST, CLEVR, and MOT benchmarks.

Why it matters: This work advances robust end-to-end training for neurosymbolic systems in dynamic domains such as perception and interaction.

Full story at: arXiv AI/ML ↗