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by mycl
2868 days ago
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Sorry to be rude, but could you ask/beg Prof Muggleton to write a book on ILP and/or meta-interpretive learning? Something like an expanded version of his 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, if I understand correctly. Just a request; no offence intended! |
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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, Stephen Muggleton [https://www.amazon.com/Probabilistic-Inductive-Programming-L...]
And this book chapter (although it's probably nothing new compared to Foundations of ILP):
Inductive Logic Programming: Theory and Methods - Stephen Muggleton and Luc de Raedt https://www.sciencedirect.com/science/article/pii/0743106694...
Unfortunately, there are, as of yet, no textbooks on Meta-Interpretive Learning and I don't expect there to be one for a few years still. MIL is a very new area of research. The first papers were published only in 2015 and we are basically still working on it furiously. It will take a while before there is enough material for a textbook. All the same, I am planning to do a few internet postings regarding MIL, at some point in the near future.
Please feel free to contact me via my profile email, if you would like some pointers to MIL and more general ILP resources other than the ones discussed above.