PRICAI 2000 Topics in Artificial Intelligence

1. Machine Learning

   1. Efficient Iris Recognition System by Optimization of Feature Vectors and Classifier

      • Shinyoung Lim, Kwanyong Lee, Okhwan Byeon, Taiyun Kim

      Pages 167-176

   2. A Classifier Fitness Measure Based on Bayesian Likelihoods: An Approach to the Problem of Learning from Positives Only

      • Andrew Skabar, Anthony Maeder, Binh Pham

      Pages 177-187

   3. Evaluating Noise Correction

      • Choh Man Teng

      Pages 188-198

   4. An Efficient Learning Algorithm Using Natural Gradient and Second Order Information of Error Surface

      • Hyeyoung Park, Kenji Fukumizu, Shun-ichi Amari, Yillbyung Lee

      Pages 199-207

2. Knowledge Discovery

   1. Fast and Robust General Purpose Clustering Algorithms

      • Vladimir Estivill-Castro, Jianhua Yang

      Pages 208-218

   2. An Algorithm for Checking Dependencies of Attributes in a Table with Non-deterministic Information: A Rough Sets Based Approach

      • Hiroshi Sakai, Akimichi Okuma

      Pages 219-229

   3. Tropical Cyclone Intensity Forecasting Model: Balancing Complexity and Goodness of Fit

      • Grace W. Rumantir

      Pages 230-240

3. Bayesian Networks

   1. Trading Off Granularity against Complexity in Predictive Models for Complex Domains

      • Ingrid Zukerman, David W. Albrecht, Ann E. Nicholson, Krystyna Doktor

      Pages 241-251

   2. Recognizing Intentions from Rejoinders in a Bayesian Interactive Argumentation System

      • Ingrid Zukerman, Nathalie Jitnah, Richard McConachy, Sarah George

      Pages 252-263

   3. Efficient Inference in Dynamic Belief Networks with Variable Temporal Resolution

      • Tim A. Wilkin, Ann E. Nicholson

      Pages 264-274

4. Beliefs and Intentions in Agents

   1. Epistemic States Guiding the Rational Dynamics of Information

      • Johannes Heidema, Isabella C Burger

      Pages 275-285

   2. Merging Epistemic States

      • Thomas Meyer

      Pages 286-296

   3. Perceiving Environments for Intelligent Agents

      • Yuefeng Li, Chengqi Zhang

      Pages 297-307

   4. A Preference-Based Theory of Intention

      • Toru Sugimoto

      Pages 308-317

5. Autonomous Agents

   1. Autonomy of Autonomous Agents

      • Dongmo Zhang, Norman Foo

      Pages 318-328

   2. Constructing an Autonomous Agent with an Interdependent Heuristics

      • Koichi Moriyama, Masayuki Numao

      Pages 329-339

   3. Unified Criterion of State Generalization for Reactive Autonomous Agents

      • Takehisa Yairi, Koichi Hori, Shinichi Nakasuka

      Pages 340-350

   4. From Brain Theory to Autonomous Robotic Agents

      • Alfredo Weitzenfeld

      Pages 351-361

6. Agent Systems

   1. A Multi-agent Approach for Optical Inspection Technology

      • T. Buchheim, G. Hetzel, G. Kindermann, P. Levi

      Pages 362-372

   2. The Use of Mobile Agents in Tracing an Intruder in a Local Area Network

      • Midori Asaka, T. Onabuta, T. Inoue, S. Goto

      Pages 373-382

PRICAI 2000, held in Melbourne, Australia, is the sixth Pacific Rim Interna­ tional Conference on Artificial Intelligence and is the successor to the five earlier PRICAIs held in Nagoya (Japan), Seoul (Korea), Beijing (China), Cairns (Aus­ tralia) and Singapore in the years 1990, 1992, 1994, 1996 and 1998 respectively. PRICAI is the leading conference in the Pacific Rim region for the presenta­ tion of research in Artificial Intelligence, including its applications to problems of social and economic importance. The objectives of PRICAI are: To provide a forum for the introduction and discussion of new research results, concepts and technologies; To provide practising engineers with exposure to and an evaluation of evolving research, tools and practices; To provide the research community with exposure to the problems of practical applications of AI; and To encourage the exchange of AI technologies and experience within the Pacific Rim countries. PRICAI 2000 is a memorial event in the sense that it is the last one in the 20"" century. It reflects what researchers in this region believe to be promising for their future AI research activities. In fact, some salient features can be seen in the papers accepted. We have 12 papers on agents, while PRICAI 96 and 98 had no more than two or three. This suggests to us one of the directions in which AI research is going in the next century. It is true that agent research provides us with a wide range of research subjects from basic ones to applications.

• AI logics
• agent technology
• algorithmic learning
• artificial intelligence
• autonomous robot
• constraint satisfaction problem
• genetic programming
• heuristics
• intelligent agents
• intelligent system
• knowledge discovery
• knowledge processing
• natural language processing
• optimization
• supervised learning

• Institute of Scientific and Industrial Research, Osaka University, Osaka, Japan

  Riichiro Mizoguchi

• Computer Sciences Laboratory, Research School of Information Sciences and Engineering, Australian National University, Canberra, Australia

  John Slaney

Policies and ethics