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Applications of Uncertainty Formalisms

  • Anthony Hunter
  • Simon Parsons

Part of the Lecture Notes in Computer Science book series (LNCS, volume 1455)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 1455)

Table of contents

  1. Front Matter
    Pages I-VIII
  2. Introduction

    1. Anthony Hunter, Simon Parsons
      Pages 1-7
    2. Simon Parsons, Anthony Hunter
      Pages 8-37
  3. Application case studies

    1. Patrick Bosc, Ludovic Liétard, Henri Prade
      Pages 58-75
    2. Marta Domingo, Lluís Godo, Carles Sierra
      Pages 88-137
    3. Paul Krause, John Fox, Philip Judson, Mukesh Patel
      Pages 138-156
    4. Alessandro Saffiotti
      Pages 198-224
    5. Duncan Wilson, Alistair Greig, John Gilby, Robert Smith
      Pages 225-241
    6. John Fox, Simon Parsons
      Pages 266-302
    7. Frances Brazier, Joeri Engelfriet, Jan Treur
      Pages 303-324
  4. Technology for applications

    1. Salem Benferhat, Laurent Garcia
      Pages 325-353
    2. Ahmed Y. Tawfik, Eric Neufeld
      Pages 379-396
    3. Jörg Gebhardt, Rudolf Kruse
      Pages 397-414
    4. John Bell, Zhisheng Huang
      Pages 427-445
  5. Back Matter
    Pages 471-474

About this book

Introduction

An introductory review of uncertainty formalisms by the volume editors begins the volume. The first main part of the book introduces some of the general problems dealt with in research. The second part is devoted to case studies; each presentation in this category has a well-delineated application problem and an analyzed solution based on an uncertainty formalism. The final part reports on developments of uncertainty formalisms and supporting technology, such as automated reasoning systems, that are vital to making these formalisms applicable. The book ends with a useful subject index. There is considerable synergy between the papers presented. The representative collection of case studies and associated techniques make the volume a particularly coherent and valuable resource. It will be indispensable reading for researchers and professionals interested in the application of uncertainty formalisms as well as for newcomers to the topic.

Keywords

Extension Fuzzy Control Systems Fuzzy Logic Probabilistic Reasoning Uncertainty Management automated reasoning control information retrieval knowledge logic modeling robot uncertainty

Editors and affiliations

  • Anthony Hunter
    • 1
  • Simon Parsons
    • 2
  1. 1.Department of Computer ScienceUniversity College LondonLondonUK
  2. 2.Queen Mary and Westfield College, Department of Electronic EngineeringUniversity of LondonLondonUK

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-49426-X
  • Copyright Information Springer-Verlag Berlin Heidelberg 1998
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-65312-7
  • Online ISBN 978-3-540-49426-3
  • Series Print ISSN 0302-9743
  • Buy this book on publisher's site