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Abductive Reasoning and Learning

  • Dov M. Gabbay
  • Rudolf Kruse

Table of contents

  1. Front Matter
    Pages i-v
  2. On the Relation between Abduction and Inductive Learning

    1. Peter A. Flach, Antonis C. Kakas
      Pages 1-33
  3. Logical Approaches

    1. Gabriele Paul
      Pages 35-98
    2. D. M. Gabbay
      Pages 99-154
    3. F. Bergadano, V. Cutello, D. Gunetti
      Pages 197-229
  4. Numerical Approaches

    1. Christian Borgelt, Rudolf Kruse
      Pages 281-314
    2. Luis M. De Campos, Juan F. Huete, Serafín Moral
      Pages 391-434
  5. Back Matter
    Pages 435-442

About this book

Introduction

This book contains leading survey papers on the various aspects of Abduction, both logical and numerical approaches. Abduction is central to all areas of applied reasoning, including artificial intelligence, philosophy of science, machine learning, data mining and decision theory, as well as logic itself.

Keywords

C programming language abductive reasoning artificial intelligence data mining intelligence learning logic machine learning probabilistic network uncertainty

Editors and affiliations

  • Dov M. Gabbay
    • 1
  • Rudolf Kruse
    • 2
  1. 1.King’s CollegeLondonUK
  2. 2.Otto-von-Guericke-UniversityMagdeburgGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-017-1733-5
  • Copyright Information Springer Science+Business Media B.V. 2000
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-90-481-5560-6
  • Online ISBN 978-94-017-1733-5
  • Buy this book on publisher's site
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