An Introduction to Inductive Logic Programming and Learning Language in Logic

Saso Dzeroski, James Cussens

Research output: Chapter in Book/Report/Conference proceedingChapter in a book

Abstract

This chapter introduces Inductive Logic Programming (ILP) and Learning Language in Logic (LLL). No previous knowledge of logic programming, ILP or LLL is assumed. Elementarytopics are covered and more advanced topics are discussed. For example, in the ILP section we discuss subsumption, inverse resolution, least general generalisation, relative least general generalisation, inverse entailment, saturation, refinement and abduction. We conclude with an overview of this volume and pointers to future work.
Original languageEnglish
Title of host publicationLearning Language in Logic
PublisherSpringer
Pages3-36
Number of pages34
Volume1925/2000
DOIs
Publication statusPublished - 1999

Publication series

NameLecture Notes in Computer Science/ Lecture Notes in Artificial Intelligence

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  • Cite this

    Dzeroski, S., & Cussens, J. (1999). An Introduction to Inductive Logic Programming and Learning Language in Logic. In Learning Language in Logic (Vol. 1925/2000, pp. 3-36). (Lecture Notes in Computer Science/ Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/3-540-40030-3_1