Logical and Relational Learning
by Luc De Raedt · first published 2008
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2HN commenters
2016–2018first – last mentioned
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…textbooks on ILP, it's mostly a bunch of scattered papers published in various journals and conferences. Nienhuys-Cheng and de Wolf are an excellent first point of call. You can also try the following books: Logical and Relational Learning - Luc de Raedt [https://www.amazon.com/Logical-Relational-Learning-Cognitive...] Probabilistic Inductive Logic Programming, Theory and applications - Luc de Raedt, Paolo Frasconi, Kristian Kersting,…
on “A Couple of Meta-Interpreters in Prolog” ↗…Relational Learning a.k.a. Statistical and Relational Learning and a number of probabilistic logic programming languages like Problog (no typo). You can find a lot of information about ILP in the textbook Logical and Relational Learning by Luc de Raedt [http://www.springer.com/us/book/9783540200406], which I recommend (not related to the author) (but I am a logic programming looney so).
on “Declaring Reality: An Introduction to Datalog” ↗…outline webpage (https://www.doc.ic.ac.uk/~shm/ilp_theory.html). My go-to for trying to understand ILP theory is Nienhuys-Cheng and de Wolf, _Foundations of Inductive Logic Programming_ and De Raedt's _Logical and Relational Learning_ is a more up-to-date overview, but I feel like there's room for a more modern textbook. This new MIL stuff seems to be be an important unifying idea that also connects back to abductive logic programming,…
on “A Couple of Meta-Interpreters in Prolog” ↗