Inductive logic programming at 30

Inductive logic programming (ILP) is a form of logic-based machine learning. The goal is to induce a hypothesis (a logic program) that generalises given training examples and background knowledge. As ILP turns 30, we review the last decade of research. We focus on (i) new meta-level search methods,...

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Bibliographic Details
Published in:	Machine learning Vol. 111; no. 1; pp. 147 - 172
Main Authors:	Cropper, Andrew, Dumančić, Sebastijan, Evans, Richard, Muggleton, Stephen H.
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.01.2022 Springer Nature B.V
Subjects:	Artificial Intelligence Computer Science Control Logic programming Logic programs Machine Learning Mechatronics Natural Language Processing (NLP) Robotics S.i.: Lr 2020 Simulation and Modeling Special issue on Learning and Reasoning Relational learning Inductive logic programming Program synthesis Program induction
ISSN:	0885-6125, 1573-0565
Online Access:	Get full text
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