Cover of Inductive Logic Programming

Inductive Logic Programming

by Stephen H. Muggleton

5mentions
1recommended by
2HN commenters
2016–2026first – last mentioned

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What Hacker News says

  • YeGoblynQueenne · Feb 4, 2022 · Recommends

    My pleasure! - First, some more recent work, mostly overviews. 1. The following is the most recent overview of the field I'm aware of: Inductive logic programming at 30 (Cropper et al, 2020) https://www.doc.ic.ac.uk/~shm/Papers/ilp30.pdf 2. And a slightly shorter version of the same paper that summarises new trends: Turning 30: New Ideas in Inductive Logic Programming…

    on “Competitive Programming with AlphaCode” ↗
  • YeGoblynQueenne · Jan 12, 2019 · Recommends

    …happy to see. There's more work on combining relational, logic-based machine learning and statistical machine learning by Luc de Raedt, Kristian Kerstig and Stephen Muggleton, among many others in the Inductive Logic Programming community. There's some good pointers on this website for Lise Getoor's introductory book to the field: https://www.cs.umd.edu/srl-book/ ___________ * Lord Sauron's.

    on “Unifying Logical and Statistical AI (2006) [pdf]” ↗
  • …(it is, it's a brilliant idea). >> it is not clear how we could extend a logic-based system to handle the messiness of natural language. There's a lot of recent stuff in Muggleton's Latest Advances in Inductive Logic Programming and a ton of work from others, before and after that. There's no problem in handling "messiness" with logic. Like I note elsewhere, your computer is a logic machine and it handles messiness just fine…

    on “Deep or Shallow, NLP is breaking out” ↗
  • "ILP" (as in Inductive Logic Programming not Integer Linear Programming) was first named in 1991 in a paper by Stephen Muggleton ("Inductive Logic Programming and Progol). The paper properly launched the field and generated a great deal of excitement…

    on “Ilya Sutskever NeurIPS talk [video]” ↗
  • thesz · Feb 24, 2026 · Mentions

    …Muggleton 2021) is a machine learning system that learns Prolog programs. Louise is a Meta-Interpretive Learning (MIL) system. MIL (Muggleton et al. 2014), (Muggleton et al. 2015), is a new setting for Inductive Logic Programming (ILP) (Muggleton, 1991). ILP is a form of weakly-supervised machine learning of logic programs from examples of program behaviour (meaning examples of the inputs and outputs of the programs to be learned).…

    on “Extending C with Prolog (1994)” ↗

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