Advanced Topics in Artificial Intelligence

12th Australian Joint Conference on Artificial Intelligence, AI’99 Sydney, Australia, December 6–10, 1999 Proceedings

  • Norman Foo
Conference proceedings AI 1999

Part of the Lecture Notes in Computer Science book series (LNCS, volume 1747)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 1747)

Table of contents

  1. Front Matter
    Pages I-XV
  2. Machine Learning I

    1. Geoffrey Holmes, Mark Hall, Eibe Prank
      Pages 1-12
    2. Mihai Lazarescu, Svetha Venkatesh, Geoff West
      Pages 13-23
    3. Graham E. Farr, David R. Powell
      Pages 24-35
  3. Neural Nets

    1. Monzurur Rahman, Xinghuo Yu, Bala Srinivasan
      Pages 36-47
    2. Zhihua Zhou, Shifu Chen, Zhaoqian Chen
      Pages 48-59
  4. Knowledge Representation I

    1. Jeong-Oog Lee, Doo-Kwon Baik
      Pages 72-83
    2. John Debenham
      Pages 84-95
  5. Natural Language

    1. Margaret Wasko, Robert Dale
      Pages 109-121
    2. Shigeki Matsubara, Katsuhiko Toyama, Yasuyoshi Inagaki
      Pages 134-143
  6. Belief Revision

    1. Oliver Schulte
      Pages 144-155
    2. Thomas Meyer
      Pages 156-167
  7. Adaptive Algorithms

    1. Mengjie Zhang, Victor Ciesielski
      Pages 180-192
    2. Andreas Albrecht, Kathleen Steinhöfel
      Pages 193-204
    3. Stéphane Calderoni, Pierre Marcenac
      Pages 205-217
  8. Automated Reasoning

  9. Neural Learning

    1. Ivan Jordanov, Robert Brown
      Pages 255-267
    2. Richard Willgoss, Javaid Iqbal
      Pages 278-290
  10. Knowledge Representation II

    1. Arun K. Pujari, G. Vijaya Kumari, Abdul Sattar
      Pages 291-303
    2. Quoc Bao Vo, Joe Thurbon
      Pages 316-327
  11. Heuristics

  12. Knowledge Representation III

    1. Abhaya C. Nayak, Norman Y. Foo
      Pages 365-377
    2. Mikhail Prokopenko, Maurice Pagnucco, Pavlos Peppas, Abhaya Nayak
      Pages 378-392
    3. Nathalie Jitnah, Ann E. Nicholson
      Pages 393-404
  13. Machine Learning II

    1. Murlikrishna Viswanathan, Chris S. Wallace, David L. Dowe, Kevin B. Korb
      Pages 405-416
    2. Chris Gaskett, David Wettergreen, Alexander Zelinsky
      Pages 417-428
  14. Applications

    1. Victor Korotkich, Noel Patson
      Pages 429-439
    2. Alexander Zelinsky
      Pages 440-452
  15. Poster Papers (Extended Summary)

    1. Sai Kiran Lakkaraju, Yan Zhang
      Pages 467-468
    2. M. R. K. Krishna Rao, Abdul Sattar
      Pages 469-471
    3. Bill Havens, Randy Goebel, Jean Berger, René Proulx
      Pages 480-481
    4. Bret Talko, Linda Stern, Les Kitchen
      Pages 482-483
    5. Victor Jauregui, Maurice Pagnucco, Norman Foo
      Pages 484-485
    6. Elise Dettmann, Ann Nicholson, Liz Sonenberg, Kaye Stacey, Vicki Steinle
      Pages 486-487

About these proceedings


The 12th Australian Joint Conference on Artificial Intelligence (AI'QQ) held in Sydney, Australia, 6-10 December 1999, is the latest in a series of annual re­ gional meetings at which advances in artificial intelligence are reported. This series now attracts many international papers, and indeed the constitution of the program committee reflects this geographical diversity. Besides the usual tutorials and workshops, this year the conference included a companion sympo­ sium at which papers on industrial appUcations were presented. The symposium papers have been published in a separate volume edited by Eric Tsui. Ar99 is organized by the University of New South Wales, and sponsored by the Aus­ tralian Computer Society, the Commonwealth Scientific and Industrial Research Organisation (CSIRO), Computer Sciences Corporation, the KRRU group at Griffith University, the Australian Artificial Intelligence Institute, and Neuron- Works Ltd. Ar99 received over 120 conference paper submissions, of which about o- third were from outside Australia. Prom these, 39 were accepted for regular presentation, and a further 15 for poster display. These proceedings contain the full regular papers and extended summaries of the poster papers. All papers were refereed, mostly by two or three reviewers selected by members of the program committee, and a list of these reviewers appears later. The technical program comprised two days of workshops and tutorials, fol­ lowed by three days of conference and symposium plenary and paper sessions.


Artificial intelligence adaptive systems agent systems classification heuristics intelligence intelligent agents knowledge processing knowledge representation learning machine learning natural language natural language processing neural computing ontology

Editors and affiliations

  • Norman Foo
    • 1
  1. 1.School of Computer Science and EngineeringUniversity of New South WalesSydneyAustralia

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 1999
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-66822-0
  • Online ISBN 978-3-540-46695-6
  • Series Print ISSN 0302-9743
  • Buy this book on publisher's site
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