Natlog: a Lightweight Logic Programming Language with a Neuro-symbolic Touch
Programming Languages
2021-09-20 v1 Artificial Intelligence
Machine Learning
Logic in Computer Science
Abstract
We introduce Natlog, a lightweight Logic Programming language, sharing Prolog's unification-driven execution model, but with a simplified syntax and semantics. Our proof-of-concept Natlog implementation is tightly embedded in the Python-based deep-learning ecosystem with focus on content-driven indexing of ground term datasets. As an overriding of our symbolic indexing algorithm, the same function can be delegated to a neural network, serving ground facts to Natlog's resolution engine. Our open-source implementation is available as a Python package at https://pypi.org/project/natlog/ .
Keywords
Cite
@article{arxiv.2109.08291,
title = {Natlog: a Lightweight Logic Programming Language with a Neuro-symbolic Touch},
author = {Paul Tarau},
journal= {arXiv preprint arXiv:2109.08291},
year = {2021}
}
Comments
In Proceedings ICLP 2021, arXiv:2109.07914