Knowledge-Based Intelligent Information and Engineering Systems

7th International Conference, KES 2003, Oxford, UK, September 2003. Proceedings, Part II

  • Vasile Palade
  • Robert J. Howlett
  • Lakhmi Jain

Part of the Lecture Notes in Computer Science book series (LNCS, volume 2774)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 2774)

Table of contents

  1. Front Matter
  2. Advances on Adaptive Resonance Theory and Applications

    1. Georgios C. Anagnostopoulos, Michael Georgiopoulos
      Pages 1-6
    2. Chee Peng Lim, Mei Ming Kuan, Robert F. Harrison
      Pages 7-15
    3. Konstantinos C. Zikidis, Spyros G. Tzafestas
      Pages 22-29
    4. Elena P. Sapozhnikova, Wolfgang Rosenstiel
      Pages 30-36
  3. Intelligent Decision Support Making Systems

    1. Lidan Ha, Guisseppi Forgionne, Fen Wang
      Pages 45-51
    2. Guy Camilleri, Jean-Luc Soubie, Pascale Zaraté
      Pages 52-58
    3. M. Mora, G. Forgionne, J. Gupta, F. Cervantes, O. Gelman
      Pages 59-65
    4. Alexandre Gachet, Pius Haettenschwiler
      Pages 87-93
    5. Felipe Lara-Rosano, María del Socorro Téllez-Silva
      Pages 94-100
    6. Nabie Y. Conteh, Guisseppi Forgionne
      Pages 101-106
    7. Nikos Karacapilidis, Emmanuel Adamides
      Pages 107-114
  4. Neural Networks for Vision - Biological and Artificial

Other volumes

  1. 7th INternational Conference, KES 2003, Oxford, UK, September 2003. Proceedings, Part I.
  2. Knowledge-Based Intelligent Information and Engineering Systems
    7th International Conference, KES 2003, Oxford, UK, September 2003. Proceedings, Part II

About these proceedings


During recent decades we have witnessed not only the introduction of automation into the work environment but we have also seen a dramatic change in how automation has influenced the conditions of work. While some 30 years ago the addition of a computer was considered only for routine and boring tasks in support of humans, the balance has dramatically shifted to the computer being able to perform almost any task the human is willing to delegate. The very fast pace of change in processor and information technology has been the main driving force behind this development. Advances in automation and especially Artificial Intelligence (AI) have enabled the formation of a rather unique team with human and electronic members. The team is still supervised by the human with the machine as a subordinate associate or assistant, sharing responsibility, authority and autonomy over many tasks. The requirement for teaming human and machine in a highly dynamic and unpredictable task environment has led to impressive achievements in many supporting technologies. These include methods for system analysis, design and engineering and in particular for information processing, for cognitive and complex knowledge [1] engineering .


data mining fuzzy human-computer interaction (HCI) intelligent systems knowledge discovery knowledge-based system knowledge-based systems learning machine learning ontology uncertainty

Editors and affiliations

  • Vasile Palade
    • 1
  • Robert J. Howlett
    • 2
  • Lakhmi Jain
    • 3
  1. 1.Computing LaboratoryOxford UniversityOxfordUnited Kingdom
  2. 2.Centre for SMART Systems, School of Environment and TechnologyUniversity of BrightonBrightonUK
  3. 3.Knowledge-Based Intelligent Engineering Systems CentreUniversity of South AustraliaAdelaideAustralia

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2003
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-40804-8
  • Online ISBN 978-3-540-45226-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book