AI 2008: Advances in Artificial Intelligence

21st Australasian Joint Conference on Artificial Intelligence Auckland, New Zealand, December 1-5, 2008. Proceedings

  • Wayne Wobcke
  • Mengjie Zhang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5360)

Table of contents

  1. Front Matter
  2. Invited Paper

  3. Knowledge Representation

    1. Hans van Ditmarsch, Andreas Herzig, Jérôme Lang, Pierre Marquis
      Pages 18-29
    2. Ulf Krumnack, Helmar Gust, Kai-Uwe Kühnberger, Angela Schwering
      Pages 42-48
    3. Shiven Sharma, Ziad Kobti, Scott Goodwin
      Pages 49-55
    4. Wilson Wong, Wei Liu, Mohammed Bennamoun
      Pages 67-78
    5. Philip H. P. Nguyen, Ken Kaneiwa, Dan R. Corbett, Minh-Quang Nguyen
      Pages 79-85
    6. Gil Chamiel, Maurice Pagnucco
      Pages 86-92
  4. Constraints

    1. Chavalit Likitvivatanavong, Roland H. C. Yap
      Pages 93-103
    2. Hemant K. Singh, Amitay Isaacs, Tapabrata Ray, Warren Smith
      Pages 104-115
    3. Malcolm Ryan
      Pages 116-127
  5. Planning

    1. Langford B. White, Sarah L. Hickmott
      Pages 128-137
  6. Grammar and Language Processing

    1. Ingrid Zukerman, Enes Makalic, Michael Niemann
      Pages 157-167
    2. Makoto Tanji, Daichi Ando, Hitoshi Iba
      Pages 180-191

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 21th Australasian Joint Conference on Artificial Intelligence, AI 2008, held in Auckland, New Zealand, in December 2008.

The 42 revised full papers and 21 revised short papers presented together with 1 invited lecture were carefully reviewed and selected from 143 submissions. The papers are organized in topical sections on knowledge representation, constraints, planning, grammar and language processing, statistical learning, machine learning, data mining, knowledge discovery, soft computing, vision and image processing, and AI applications.

Keywords

Constraint artificial intelligence data mining image processing intelligence knowledge knowledge discovery knowledge representation learning machine learning

Editors and affiliations

  • Wayne Wobcke
    • 1
  • Mengjie Zhang
    • 2
  1. 1.Wales, School of Computer Science and Engineering,University of New SouthSydneyAustralia
  2. 2.School of Mathematics, Statistics and Computer ScienceVictoria University of WellingtonWellingtonNew Zealand

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-89378-3
  • Copyright Information Springer-Verlag Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-89377-6
  • Online ISBN 978-3-540-89378-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book