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PRICAI 2004: Trends in Artificial Intelligence

8th Pacific Rim International Conference on Artificial Intelligence, Auckland, New Zealand, August 9-13, 2004, Proceedings

  • Conference proceedings
  • © 2004

Overview

Editors:
  1. Chengqi Zhang

    1. Faculty of Engineering and Information Technology, Centre for Quantum Computation and Intelligent Systems, and Australian ACS National Committee for Artificial Intelligence, University of Technology, Sydney, Australia

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  2. Hans W. Guesgen

    1. Department of Computer Science, Auckland University of Technology, Auckland, New Zealand

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  3. Wai-Kiang Yeap

    1. Artificial Intelligence Technology Centre, Auckland University of Technology, Auckland, New Zealand

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 3157)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: PRICAI 2004.

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About this book

The Pacific Rim International Conference on Artificial Intelligence (PRICAI) is a biennial international event which focuses on Artificial Intelligence (AI) theories and technologies, and their applications which are of social and economic importance for countries in the Pacific Rim region. Seven earlier conferences were held in: Nagoya, Japan (1990); Seoul, Korea (1992); Beijing, China (1994); Cairns, Australia (1996); Singapore (1998); Melbourne, Australia (2000); and Tokyo, Japan (2002). PRICAI 2004 was the eigth in the series and was held in Auckland, New Zealand in August 2004. PRICAI 2004 had attracted a historical record number of submissions, a total of 356 papers. After careful reviews by at least two international Program Committee members or referees, 94 papers were accepted as full papers (27%) and 54 papers (15%) were accepted as posters. Authors of accepted papers came from 27 countries. This volume of the proceedings contains all the 94 full papers but only a 2-page - tended abstract of each of the accepted posters. The full papers were categorized into four sections, namely: AI foundations, computational intelligence, AI technologies and systems, and AI specific application areas. Among the papers submitted, we found “Agent Technology” to be the area having the most papers submitted. This was followed by “Evolutionary Computing”, “Computational Learning”, and “Image Processing”.

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Table of contents (142 papers)

  1. Front Matter

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  2. Invited Talks

    1. Biomedical Artificial Intelligence

      • Richard Lathrop
      Pages 1-1

    2. Electronics Institutions: Methodology of Multi-agent Systems Development

      • Carles Sierra
      Pages 2-2

    3. The Happy Searcher: Challenges in Web Information Retrieval

      • Mehran Sahami, Vibhu Mittal, Shumeet Baluja, Henry Rowley
      Pages 3-12

  3. PART 1: AI Foundations

    1. Logic and Reasoning

      1. On the Intended Interpretations of Actions
        • Victor Jauregui, Maurice Pagnucco, Norman Foo
        Pages 13-22
      2. Temporal Linear Logic for Symbolic Agent Negotiation
        • Peep Küngas
        Pages 23-32
      3. Dealing with Inconsistent Secure Messages
        • Qingfeng Chen, Shichao Zhang
        Pages 33-42
      4. Answer Set Computation Based on a Minimal Model Generation Theorem Prover
        • Yasuyuki Shirai, Ryuzo Hasegawa
        Pages 43-52

    2. Knowledge Representation and Search

      1. What Is a Qualitative Calculus? A General Framework
        • Gérard Ligozat, Jochen Renz
        Pages 53-64
      2. Qualitative Direction Calculi with Arbitrary Granularity
        • Jochen Renz, Debasis Mitra
        Pages 65-74
      3. Power of Brute-Force Search in Strongly-Typed Inductive Functional Programming Automation
        • Susumu Katayama
        Pages 75-84

    3. Ontology

      1. Ontology Services-Based Information Integration in Mining Telecom Business Intelligence
        • Longbing Cao, Chao Luo, Dan Luo, Li Liu
        Pages 85-94

    4. Planning

      1. Indexing Approach for Delivery Demands with Time Constraints
        • Naoto Mukai, Jun Feng, Toyohide Watanabe
        Pages 95-103
      2. An Hierarchical Terrain Representation for Approximately Shortest Paths
        • David Mould, Michael C. Horsch
        Pages 104-113
      3. MSIP: Agents Embodying a Category-Based Learning Process for the ITS Tutor to Self-improve Its Instructional Plans
        • Roberto Legaspi, Raymund Sison, Masayuki Numao
        Pages 114-123

    5. Constraint Satisfaction

      1. Circuit Consistencies
        • Abdellah Idrissi, Ahlem Ben Hassine
        Pages 124-133
      2. Solving Over-Constrained Temporal Reasoning Problems Using Local Search
        • Matthew Beaumont, John Thornton, Abdul Sattar, Michael Maher
        Pages 134-143
      3. Methods of Automatic Algorithm Generation
        • Stuart Bain, John Thornton, Abdul Sattar
        Pages 144-153
      4. A Novel Heuristic to Solve IA Network by Convex Approximation and Weights
        • Arun K. Pujari, T. Adilakshmi
        Pages 154-163
      5. Applying An Improved Heuristic Based Optimiser to Solve a Set of Challenging University Timetabling Problems: An Experience Report
        • Vincent Tam, Jack Ho, Alvin Kwan
        Pages 164-172
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Other volumes

  1. PRICAI 2004: Trends in Artificial Intelligence

Editors and Affiliations

  • Faculty of Engineering and Information Technology, Centre for Quantum Computation and Intelligent Systems, and Australian ACS National Committee for Artificial Intelligence, University of Technology, Sydney, Australia

    Chengqi Zhang

  • Department of Computer Science, Auckland University of Technology, Auckland, New Zealand

    Hans W. Guesgen

  • Artificial Intelligence Technology Centre, Auckland University of Technology, Auckland, New Zealand

    Wai-Kiang Yeap

Bibliographic Information

  • Book Title: PRICAI 2004: Trends in Artificial Intelligence

  • Book Subtitle: 8th Pacific Rim International Conference on Artificial Intelligence, Auckland, New Zealand, August 9-13, 2004, Proceedings

  • Editors: Chengqi Zhang, Hans W. Guesgen, Wai-Kiang Yeap

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/b99563

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2004

  • Softcover ISBN: 978-3-540-22817-2Published: 16 August 2004

  • eBook ISBN: 978-3-540-28633-2Published: 21 September 2004

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XL, 1026

  • Topics: Artificial Intelligence

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