Lecture Notes in Artificial Intelligence Lect.Notes Computer. Tutorial

Foundations of Inductive Logic Programming

Authors: Nienhuys-Cheng, Shan-Hwei, Wolf, Ronald de

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About this Textbook

Inductive Logic Programming is a young and rapidly growing field combining machine learning and logic programming. This self-contained tutorial is the first theoretical introduction to ILP; it provides the reader with a rigorous and sufficiently broad basis for future research in the area.
In the first part, a thorough treatment of first-order logic, resolution-based theorem proving, and logic programming is given. The second part introduces the main concepts of ILP and systematically develops the most important results on model inference, inverse resolution, unfolding, refinement operators, least generalizations, and ways to deal with background knowledge. Furthermore, the authors give an overview of PAC learning results in ILP and of some of the most relevant implemented systems.

Table of contents (19 chapters)

Table of contents (19 chapters)
  • Propositional logic

    Pages 2-15

  • First-order logic

    Pages 17-34

  • Normal forms and Herbrand models

    Pages 35-53

  • Resolution

    Pages 55-74

  • Subsumption theorem and refutation completeness

    Pages 75-92

Buy this book

eBook 58,84 €
price for Spain (gross)
  • ISBN 978-3-540-69049-8
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 72,79 €
price for Spain (gross)
  • ISBN 978-3-540-62927-6
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Foundations of Inductive Logic Programming
Authors
Series Title
Lecture Notes in Artificial Intelligence
Series Volume
1228
Copyright
1997
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-69049-8
DOI
10.1007/3-540-62927-0
Softcover ISBN
978-3-540-62927-6
Edition Number
1
Number of Pages
XVIII, 410
Topics