Soft-Ware 2002: Computing in an Imperfect World

First International Conference, Soft-Ware 2002 Belfast, Northern Ireland, April 8–10, 2002 Proceedings

  • David Bustard
  • Weiru Liu
  • Roy Sterritt

Part of the Lecture Notes in Computer Science book series (LNCS, volume 2311)

Table of contents

  1. Front Matter
    Pages I-XI
  2. Technical Session 1

    1. L. Rossides, C. Chrysostomou, A. Pitsillides, A. Sekercioglu
      Pages 1-13
    2. David Chieng, Ivan Ho, Alan Marshall, Gerard Parr
      Pages 14-30
    3. Gianluca Bontempi, Gauthier Lafruit
      Pages 46-59
  3. Technical Session 2

    1. Jianhan Zhu, Jun Hong, John G. Hughes
      Pages 60-73
    2. Filip Železný, Jiří Zídgek, Olga Štěpánková
      Pages 88-101
    3. Trevor P. Martin, Benham Azvine
      Pages 102-113
  4. Technical Session 3

    1. Gilles Richard, Fatima Zohra Kettaf
      Pages 128-140
    2. Rajiv Bagai, Shellene J. Kelley
      Pages 141-150
    3. Wolfgang Golubski
      Pages 166-173
    4. Manny M. Lehman, J. F. Ramil
      Pages 174-190
  5. Technical Session 4

    1. Sally McClean, Bryan Scotney, Fiona Palmer
      Pages 191-205
    2. Adele Marshall, David Bell, Roy Sterritt
      Pages 206-216
    3. Dymitr Ruta, Bogdan Gabrys
      Pages 232-246
    4. Marzena Kryszkiewicz
      Pages 247-262

About these proceedings

Introduction

This was the ?rst conference of a new series devoted to the e?ective handling of soft issues in the design, development, and operation of computing systems. The conference brought together contributors from a range of relevant disciplines, including arti?cial intelligence, information systems, software engineering, and systems engineering. The keynote speakers, Piero Bonissone, Ray Paul, Sir Tony Hoare, Michael Jackson, and Derek McAuley have interests and experience that collectively span all of these ?elds. Soft issues involve information or knowledge that is uncertain, incomplete, or contradictory. Examples of where such issues arise include: – requirements management and software quality control in software engine- ing, – con?ict or multiple sources information management in information systems, – decision making/prediction in business management systems, – quality control in networks and user services in telecommunications, – traditional human rationality modeling in arti?cial intelligence, – data analysis in machine learning and data mining, – control management in engineering. The concept of dealing with uncertainty became prominent in the arti?cial intel- gence community nearly 20 years ago, when researchers realized that addressing uncertainty was an essential part of representing and reasoning about human knowledge in intelligent systems. The main methodologies that have emerged in this area are soft computing and computational intelligence.

Keywords

Soft computing artificial intelligence computational intelligence decision making design fuzzy control information system intelligence knowledge processing machine learning probabilistic systems requirement management software engineering software quality statistical inference

Editors and affiliations

  • David Bustard
    • 1
  • Weiru Liu
    • 1
  • Roy Sterritt
    • 1
  1. 1.Faculty of Informatics School of Information and Software EngineeringUniversity of UlsterNewtownabbeyNorthern Ireland

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-46019-5
  • Copyright Information Springer-Verlag Berlin Heidelberg 2002
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-43481-8
  • Online ISBN 978-3-540-46019-0
  • Series Print ISSN 0302-9743
  • About this book