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AI 2002: Advances in Artificial Intelligence

15th Australian Joint Conference on Artificial Intelligence Canberra, Australia, December 2–6, 2002 Proceedings

  • Bob McKay
  • John Slaney

Part of the Lecture Notes in Computer Science book series (LNCS, volume 2557)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 2557)

Table of contents

  1. Front Matter
    Pages I-XV
  2. Natural Language and Information Retrieval

    1. Debbie Richards, Kathrin Boettger, Oscar Aguilera
      Pages 1-11
    2. Kyongho Min, William H. Wilson, Yoo-Jin Moon
      Pages 12-23
    3. Ingrid Zukerman, Bhavani Raskutti, Yingying Wen
      Pages 24-35
  3. Knowledge Representation and Reasoning

  4. Deduction

    1. Seungyeob Choi, Manfred Kerber
      Pages 83-94
    2. Jeremy E. Dawson, Rajeev Goré
      Pages 95-106
    3. Wolfgang Mayer, Markus Stumptner
      Pages 107-118
  5. Learning Theory I

  6. Agents

    1. John Debenham
      Pages 191-202
    2. Juei-Nan Chen, Yueh-Min Huang, William C. Chu
      Pages 203-212
  7. Intelligent Systems

    1. Rob Sherwood, Steve Chien, Rebecca Castano, Gregg Rabideau
      Pages 213-224
    2. Zaiping Chen, Qiang Gao, Chao Dong, Hongjin Liu, Peng Zhang, Zhenlin Xu
      Pages 249-258
  8. Bayesian Reasoning and Classification

    1. Mike Dowman
      Pages 259-271
    2. Lucas R. Hope, Kevin B. Korb
      Pages 272-283
    3. Sarah George, Ingrid Zukerman
      Pages 297-308
  9. Evolutionary Algorithms

  10. Neural Networks I

  11. Reinforcement Learning

    1. Junbin Gao, Steve Gunn, Jaz Kandola
      Pages 395-406
    2. Katja Verbeeck, Ann Nowé, Tom Lenaerts, Johan Parent
      Pages 407-418
  12. Constraints and Scheduling

    1. Peter Wilke, Matthias Gröbner, Norbert Oster
      Pages 455-464
    2. Wensheng Yao, Baiyan Li, Jinyuan You
      Pages 465-476
  13. Neural Net Applications I

    1. Dianhui Wang, N.K. Lee, T.S. Dillon, N.J. Hoogenraad
      Pages 477-486
    2. Sun Jie, G.S. Hong, M. Rahman, Y.S. Wong
      Pages 487-497
    3. Yakov Frayman, Bernard F. Rolfe, Geoffrey I. Webb
      Pages 511-522
  14. Learning Theory II

    1. Satoshi Matsumoto, Takayoshi Shoudai, Tetsuhiro Miyahara, Tomoyuki Uchida
      Pages 523-534
    2. Dongmo Zhang, Norman Foo
      Pages 547-556

About these proceedings

Keywords

algorithms artificial intelligence case-based reasoning classification evolution evolutionary algorithm intelligent systems knowledge knowledge representation learning learning theory machine learning neural network reinforcement learning

Editors and affiliations

  • Bob McKay
    • 1
  • John Slaney
    • 2
  1. 1.Australian Defence Force AcademyUniversity of New South WalesCanberraAustralia
  2. 2.Computer Science LaboratoryAustralian National UniversityCanberraAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-36187-1
  • Copyright Information Springer-Verlag Berlin Heidelberg 2002
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-00197-3
  • Online ISBN 978-3-540-36187-9
  • Series Print ISSN 0302-9743
  • Buy this book on publisher's site