Applications and Innovations in Intelligent Systems XIV

Proceedings of AI-2006, the Twenty-sixth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence

  • Richard Ellis
  • Tony Allen
  • Andrew Tuson

Table of contents

  1. Front Matter
    Pages I-XI
  2. Best Application Paper

    1. Front Matter
      Pages 1-1
    2. Alfio Vidotto, Kenneth N. Brown, J. Christopher Beck
      Pages 3-16
  3. Data Mining and Bayesian Networks

    1. Front Matter
      Pages 17-17
    2. Richard Adderley, Michael Townsley, John Bond
      Pages 19-32
    3. Rafael Duque, Crescencio Bravo, Carmen Lacave
      Pages 33-43
    4. Ken Mcflarry, Nick Morris, Alex Freitas
      Pages 44-57
    5. Michael Mayo, Anna T. Watson
      Pages 58-71
  4. Genetic Algorithms and Optimisation Techniques

    1. Front Matter
      Pages 73-73
    2. Nicholas Miles, Alex Freitas, Stephen Serjeant
      Pages 75-87
    3. Lars Nolle, Friedrich Biegler-König, Peter Deeskow
      Pages 88-96
    4. R. Báez de Aguilar-Barcala, F. Ríos, R. Fernández-Ramos, J. Romero-Sánchez, J. F. Martín-Canales, A. I. Molina-Conde et al.
      Pages 97-106
  5. Agents and Semantic Web

    1. Front Matter
      Pages 119-119
    2. Juan A. Recio-Garía, Belén Díaz-Agudo
      Pages 149-162
    3. M. A. Salidol, M. Abril, F. Barber, L. Ingolotti, P. Tormos, A. Lova
      Pages 163-176
  6. Natural Language

    1. Front Matter
      Pages 177-177

About these proceedings



The papers in this volume are the refereed application papers presented at AI-2006, the Twenty-sixth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, held in Cambridge in December 2006.

The papers in this volume present new and innovative developments in the field, divided into sections on Data Mining and Bayesian Networks; Genetic Algorithms and Optimisation Techniques; Agents and Semantic Web; and Natural Language.

This is the fourteenth volume in the Applications and Innovations series. The series serves as a key reference as to how AI technology has enabled organisations to solve complex problems and gain significant business benefit.

The Technical Stream papers are published as a companion volume under the title Research and Development in Intelligent Systems XXIII.


Bayesian network Simulation agents artificial intelligence data mining genetic algorithms grammar natural language ontology optimization problem solving semantic web

Editors and affiliations

  • Richard Ellis
    • 1
  • Tony Allen
    • 2
  • Andrew Tuson
    • 3
  1. 1.Stratum Management LtdUK
  2. 2.Nottingham Trent UniversityUK
  3. 3.Department of ComputingCity UniversityLondon

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag London 2007
  • Publisher Name Springer, London
  • eBook Packages Computer Science
  • Print ISBN 978-1-84628-665-0
  • Online ISBN 978-1-84628-666-7
  • About this book