Learning big logical rules by joining small rules
Machine Learning
2024-01-30 v1 Artificial Intelligence
Logic in Computer Science
Abstract
A major challenge in inductive logic programming is learning big rules. To address this challenge, we introduce an approach where we join small rules to learn big rules. We implement our approach in a constraint-driven system and use constraint solvers to efficiently join rules. Our experiments on many domains, including game playing and drug design, show that our approach can (i) learn rules with more than 100 literals, and (ii) drastically outperform existing approaches in terms of predictive accuracies.
Cite
@article{arxiv.2401.16215,
title = {Learning big logical rules by joining small rules},
author = {Céline Hocquette and Andreas Niskanen and Rolf Morel and Matti Järvisalo and Andrew Cropper},
journal= {arXiv preprint arXiv:2401.16215},
year = {2024}
}