Perspectives in Neural Computing

Neural-Symbolic Learning Systems

Foundations and Applications

Authors: d'Avila Garcez, Artur S., Broda, Krysia, Gabbay, Dov M.

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  • ISBN 978-1-4471-0211-3
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About this book

Artificial Intelligence is concerned with producing devices that help or replace human beings in their daily activities. Neural-symbolic learning systems play a central role in this task by combining, and trying to benefit from, the advantages of both the neural and symbolic paradigms of artificial intelligence.
This book provides a comprehensive introduction to the field of neural-symbolic learning systems, and an invaluable overview of the latest research issues in this area. It is divided into three sections, covering the main topics of neural-symbolic integration - theoretical advances in knowledge representation and learning, knowledge extraction from trained neural networks, and inconsistency handling in neural-symbolic systems. Each section provides a balance of theory and practice, giving the results of applications using real-world problems in areas such as DNA sequence analysis, power systems fault diagnosis, and software requirements specifications.
Neural-Symbolic Learning Systems will be invaluable reading for researchers and graduate students in Engineering, Computing Science, Artificial Intelligence, Machine Learning and Neurocomputing. It will also be of interest to Intelligent Systems practitioners and anyone interested in applications of hybrid artificial intelligence systems.

Table of contents (9 chapters)

  • Introduction and Overview

    d’Avila Garcez, Artur S. (et al.)

    Pages 1-12

  • Background

    d’Avila Garcez, Artur S. (et al.)

    Pages 13-40

  • Theory Refinement in Neural Networks

    d’Avila Garcez, Artur S. (et al.)

    Pages 43-85

  • Experiments on Theory Refinement

    d’Avila Garcez, Artur S. (et al.)

    Pages 87-110

  • Knowledge Extraction from Trained Networks

    d’Avila Garcez, Artur S. (et al.)

    Pages 113-158

Buy this book

eBook £83.50
price for United Kingdom (gross)
  • ISBN 978-1-4471-0211-3
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover £104.50
price for United Kingdom (gross)
  • ISBN 978-1-85233-512-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Neural-Symbolic Learning Systems
Book Subtitle
Foundations and Applications
Authors
Series Title
Perspectives in Neural Computing
Copyright
2002
Publisher
Springer-Verlag London
Copyright Holder
Springer-Verlag London
eBook ISBN
978-1-4471-0211-3
DOI
10.1007/978-1-4471-0211-3
Softcover ISBN
978-1-85233-512-0
Series ISSN
1431-6854
Edition Number
1
Number of Pages
XIV, 271
Number of Illustrations and Tables
30 b/w illustrations
Topics