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Expert Systems and Probabilistic Network Models

  • Enrique Castillo
  • José Manuel Gutiérrez
  • Ali S. Hadi

Part of the Monographs in Computer Science book series (MCS)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Enrique Castillo, José Manuel Gutiérrez, Ali S. Hadi
    Pages 1-20
  3. Enrique Castillo, José Manuel Gutiérrez, Ali S. Hadi
    Pages 21-68
  4. Enrique Castillo, José Manuel Gutiérrez, Ali S. Hadi
    Pages 69-111
  5. Enrique Castillo, José Manuel Gutiérrez, Ali S. Hadi
    Pages 113-174
  6. Enrique Castillo, José Manuel Gutiérrez, Ali S. Hadi
    Pages 175-210
  7. Enrique Castillo, José Manuel Gutiérrez, Ali S. Hadi
    Pages 211-266
  8. Enrique Castillo, José Manuel Gutiérrez, Ali S. Hadi
    Pages 267-315
  9. Enrique Castillo, José Manuel Gutiérrez, Ali S. Hadi
    Pages 317-391
  10. Enrique Castillo, José Manuel Gutiérrez, Ali S. Hadi
    Pages 393-441
  11. Enrique Castillo, José Manuel Gutiérrez, Ali S. Hadi
    Pages 443-480
  12. Enrique Castillo, José Manuel Gutiérrez, Ali S. Hadi
    Pages 481-527
  13. Enrique Castillo, José Manuel Gutiérrez, Ali S. Hadi
    Pages 529-571
  14. Back Matter
    Pages 573-596

About this book

Introduction

Artificial intelligence and expert systems have seen a great deal of research in recent years, much of which has been devoted to methods for incorporating uncertainty into models. This book is devoted to providing a thorough and up-to-date survey of this field for researchers and students.

Keywords

Bayesian network Probability theory artificial intelligence complexity control expert system graph algorithm inference engine intelligence knowledge base learning probabilistic network search algorithm simulation uncertainty

Authors and affiliations

  • Enrique Castillo
    • 1
  • José Manuel Gutiérrez
    • 1
  • Ali S. Hadi
    • 2
  1. 1.Cantabria UniversitySantanderSpain
  2. 2.Cornell UniversityIthacaUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4612-2270-5
  • Copyright Information Springer-Verlag New York 1997
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-0-387-94858-4
  • Online ISBN 978-1-4612-2270-5
  • Series Print ISSN 0172-603X
  • Buy this book on publisher's site