Research and Development in Intelligent Systems XXV

Proceedings of AI-2008, the Twenty-eighth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence

  • Max Bramer
  • Miltos Petridis
  • Frans Coenen

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Best Technical Paper

    1. Front Matter
      Pages 1-1
  3. CBR and Classification

    1. Front Matter
      Pages 17-17
    2. Thomas R. Roth-Berghofer, Daniel Bahls
      Pages 19-32
    3. Jayaraman J. Thiagarajan, Karthikeyan N. Ramamurthy, Andreas Spanias
      Pages 33-45
    4. Zina M. Ibrahim, Ahmed Y. Tawfik, Alioune Ngom
      Pages 47-60
    5. E. N. Smirnov, N. Y. Nikolaev, G. I. Nalbantov
      Pages 61-74
  4. AI Techniques

    1. Front Matter
      Pages 75-75
    2. Siddhartha Shakya, Fernando Oliveira, Gilbert Owusu
      Pages 77-90
    3. Trevor Runcie, Peter Gray, Derek Sleeman
      Pages 105-118
  5. Argumentation And Negotiation

    1. Front Matter
      Pages 131-131
    2. Maya Wardeh, Trevor Bench-Capon, Frans Coenen
      Pages 133-146
    3. John Debenham, Carles Sierra
      Pages 147-160
    4. Fernando Lopes, A. Q. Novais, Helder Coelho
      Pages 161-174
  6. Intelligent Systems

    1. Front Matter
      Pages 175-175
    2. Nick Hawes, Jeremy Wyatt, Aaron Sloman
      Pages 177-190
    3. John Tobin, Carl Vogel
      Pages 191-204

About these proceedings


The papers in this volume are the refereed technical papers presented at AI-2008, the Twenty-eighth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, held in Cambridge in December 2008.

They present new and innovative developments in the field, divided into sections on CBR and Classification, AI Techniques, Argumentation and Negotiation, Intelligent Systems, From Machine Learning To E-Learning and Decision Making. The volume also includes the text of short papers presented as posters at the conference.

This is the twenty-fifth volume in the Research and Development series. The series is essential reading for those who wish to keep up to date with developments in this important field.

The Application Stream papers are published as a companion volume under the title Applications and Innovations in Intelligent Systems XVI.


Artificial Intelligence Bayesian network Emotion Evolution Expert Systems Knowledge Based Systems classification evolutionary algorithm genetic algorithms intelligence knowledge learning machine learning optimization uncertainty

Editors and affiliations

  • Max Bramer
    • 1
  • Miltos Petridis
    • 2
  • Frans Coenen
    • 3
  1. 1.Faculty of TechnologyUniversity of PortsmouthPortsmouthUK
  2. 2.University of GreenwichUK
  3. 3.Department of Computer ScienceUniversity of LiverpoolLiverpoolUK

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag London 2009
  • Publisher Name Springer, London
  • eBook Packages Computer Science
  • Print ISBN 978-1-84882-170-5
  • Online ISBN 978-1-84882-171-2
  • About this book