mlsanityData to 14 Oct 2026

An Unofficial FastLAS Tutorial: A Programmer's Guide

arXiv 2607.23557 ↗First posted 26 Jul 2026cs.LO cs.AI cs.LGcited by 0

Not on the map. Why?

Abstract (arXiv)

FastLAS is a scalable system for Inductive Logic Programming (ILP): you give it some background knowledge, a language bias, and a set of examples, and it searches for a set of logic program rules (a hypothesis) that explains the examples. These notes are a hands-on introduction to writing FastLAS programs. They are organised as a programmer's guide: syntax first, then a ladder of worked, numbered examples of increasing difficulty. Every self-contained example here has been run against FastLAS 2.2.0 and shows the tool's actual output. We keep theory to the minimum needed to write correct programs; throughout, set-off notes flag where FastLAS differs from its sibling system ILASP, and where the two learning algorithms (--opl and --nopl) behave differently. The document is intended as an unofficial tutorial to FastLAS 2.2.0, not as an official language specification.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 1 of its 12 references that are in the map. First posted on arXiv 26 Jul 2026.

Builds on

1 of 12 references.

References · 1

  1. 2020The ILASP system for Inductive Learning of Answer Set Programscited by 27

Built on by

Not cited yet.