5. PRICAI 1998: Singapore

Induction (Improving Classifier's Accuracy)

• R. Mike Cameron-Jones, Linda Richards:
  Repechage Bootstrap Aggregating for Misclassification Cost Reduction. 1-11
  
• Zijian Zheng:
  Generating Classifier Commitees by Stochastically Selecting both Attributes and Training Examples. 12-23
  
• Xindong Wu, William H. W. Lo:
  Multi-layer Incremental Induction. 24-32
  

Multi Agent Architecture

• Babak Hodjat, Christopher J. Savoie, Makoto Amamiya:
  An Adaptive Agent Oriented Software Architecture. 33-46
  
• Toramatsu Shintani, Takayuki Ito:
  An Architecture for Multi-agent Negotiation Using Private Preferences in a Meeting Scheduler. 47-58
  
• Hiroyuki Nishiyama, Hayato Ohwada, Fumio Mizoguchi:
  Towards Agent-Oriented Smart Office Based on Concurrent Logic Languages. 59-70
  
• Keiki Takadama, Shinichi Nakasuka, Takao Terano:
  Amalyzing the Roles of Problem Solving and Learning in Organizational-Learning Oriented Classifier System. 71-82
  

Knowledge Acquisition, Modeling and Vadation

• Ghassan Beydoun, Achim G. Hoffmann:
  Simultaneous Modelling and Knowledge Acquisition Using NRDR. 83-95
  
• Setsuo Ohsuga, Takanori Nishio:
  Model Building and Program Specification - In a Case of Enterprise Design. 96-109
  
• Tim Menzies, Sam Waugh:
  On the Practicality of Viewpoint-Based Requirements Engineering. 110-121
  

Reasoning (Non-monotonic Reasoning, Default Logic, Commonsense Reasoning)

• Abhaya C. Nayak, Norman Y. Foo:
  Reasoning without Minimality. 122-133
  
• James P. Delgrande, Torsten Schaub:
  Reasoning with Sets of Preferences in Default Logic. 134-145
  
• Janet Aisbett, Greg Gibbon:
  Frugality in Reasoning and the Role of Summary. 146-157
  

Knowledge Discovery and Data Mining

• G. Jha, S. C. Hui:
  Data Mining for Risk Analysis and Targeted Marketing. 158-169
  
• Syed Sibte Raza Abidi, Alwyn Goh:
  Applying Knowledge Discovery to Predict Infectious Disease Epidemics. 170-181
  
• Bing Liu, Ke Wang, Lai-Fun Mun, Xin-Zhi Qi:
  Using Decision Tree Induction for Discovering Holes in Data. 182-193
  

Knowledge Management (Ontology, Individual and Collective Knowledge)

• Rieko Sekiuchi, Chizuru Aoki, Masaki Kurematsu, Takahira Yamaguchi:
  DODDLE: A Domain Ontology Rapid Development Environment. 194-204
  
• Akihiro Suyama, Naoya Negishi, Takahira Yamaguchi:
  CAMLET: A Platform for Automatic Composition of Inductive Learning Systems Using Ontologies. 205-215
  
• Leila Alem, Pierre Marcenac:
  Management of Worker's Experiences: A Knowledge-Based Approach. 216-227
  

Induction (Decision Tree Pruning, Feature Selection, Feature Discretization)

• Igor Kononenko:
  The Minimum Description Length Based Decision Tree Pruning. 228-237
  
• Manoranjan Dash, Huan Liu:
  Hybrid Search of Feature Subsets. 238-249
  
• Ke Wang, Bing Liu:
  Concurrent Discretization of Multiple Attributes. 250-259
  

Application of Fuzzy Logic

• Myoung-Jong Kim, Ingoo Han, Kunchang Lee:
  The Integration of Machine and Human Knowledge by Fuzzy Logic for the Prediction of Price Index. 260-271
  
• Chun Che Fung, V. Iyer, C. Maynard:
  Computational Intelligence Techniques for Short Term Generation Scheduling in a Hybrid Energy System. 272-281
  
• Changjiu Zhou, Qingchun Meng:
  Fuzzy Rule Extraction Based-Integration of Linguistic and Numerical Information for Hybrid Intelligence Systems. 282-293
  

Reasoning (Temporal Reasoning, Event Calculus)

• Tyrone O'Neill, Norman Y. Foo:
  Reasoning about Continuous Change. 294-304
  
• Tim Van Allen, James P. Delgrande, Arvind Gupta:
  Point-Based Approaches to Qualitative Temporal Reasoning. 305-316
  
• Rattana Wetprasit, Abdul Sattar, Matthew Beaumont:
  An Experimental Study of Reasoning with Sequences of Point Events. 317-328
  

Application of Neural Network

• Doan B. Hoang, G. Williamson:
  A Mixture of Global and Local Gated Experts for the Prediction of High Frequency Foreign Exchange Rates. 329-340
  
• Yue Xu, Chengqi Zhang:
  A Neural Network Diagnosis Model without Disorder Independence Assumption. 341-352
  
• M. W. Chen, Ali M. S. Zalzala:
  Neural Network Based Motion Control and Applications to Non-holonomic Mobile Manipulators. 353-364
  

Search (Constraint Satisfaction, Heuristic Search)

• Hong-ming Yeh, Jane Yung-jen Hsu, Han-Shen Huang:
  A Geometric Approach to Anytime Constraint Solving for TCSPs. 365-376
  
• John Thornton, Abdul Sattar:
  Dynamic Constraint Weighting for Over-Constrained Problems. 377-388
  
• Hironori Hiraishi, Hayato Ohwada, Fumio Mizoguchi:
  Time-Constrained HeuristicSearch for Practical Route Finding. 389-398
  

Bayesian Network

• Ann E. Nicholson, Nathalie Jitnah:
  Using Mutual Information to Determine Relevance in Bayesian Networks. 399-410
  
• Nevin Lianwen Zhang:
  Context-Specific Independence, Decomposition of Conditional Probabilities, and Inference in Bayesian Networks. 411-423
  

Text Analysis (Summarization, Morphological Analysis)

• Yasuhiro Ogawa, Muhtar Mahsut, Katsuhiko Toyama, Yasuyoshi Inagaki:
  Derivational Grammar Approach to Morphological Analysis of Japanese Sentences. 424-435
  
• Chuleerat Jaruskulchai:
  An Automatic Thai Lexical Acquisition from Text. 436-447
  

Knowledge Structure

• Li Kwang Angela Wee, Loong Cheong Tong, Chew Lim Tan:
  Knowledge Representation Issues in Information Extraction. 448-458
  
• Toyohide Watanabe, Masataka Yamada:
  Structuralization of Case-Bases, Using Concept Hierarchy. 459-470
  

Induction (Inductive Logic Programming)

• Allen P. Courtney, Norman Y. Foo:
  A Closer Look at Preduction. 471-481
  
• M. R. K. Krishna Rao, Abdul Sattar:
  Learning Linearly-Moded Programs from Entailment. 482-493
  
• Hayato Ohwada, Makiko Daidoji, Shiroaki Shirato, Fumio Mizoguchi:
  Learning First-Order Rules from Image Applied to Glaucoma Diagnosis. 494-505
  

Intelligent Systems

• Chenggang Wang, Tze-Yun Leong:
  Knowledge-Based Formulation of Dynamic Decision Models. 506-517
  
• James N. K. Liu, Thomas Mak, Brian Tang, Katie Ma, Zikey Tsang:
  An Intelligent Job Counseling System. 518-529
  
• Hamdy Elwany, Mohamed G. Abou-Ali, Nermeen A. Harraz:
  The Layout Problem: Investigation and Aggregation of Artificial Intelligence and Optimization Techniques. 530-541
  

Foundation of AI

• Roderic A. Girle:
  Logical Fiction: Real vs. Ideal. 542-552
  
• Rex Bing Hung Kwok, Abhaya C. Nayak, Norman Y. Foo:
  Coherence Measure Based on Average Use of Formulas. 553-564
  
• Norman Y. Foo:
  Diagrammatic Reasoning About Linked Lists. 565-574

Stochastic Process

• Ann E. Nicholson, Ingrid Zukerman, David W. Albrecht:
  A Decision-Theoretic Approach for Pre-sending Information on the WWW. 575-586
  
• Jiri Baum, Ann E. Nicholson:
  Dynamic Non-uniform Abstractions for Approximate Planning in Large Structured Stochastic Domains. 587-598
  

Abduction (Explanation, Hypothetical Reasoning)

• Alex Kean:
  A Characterization of Contrastive Explanations Computation. 599-610
  
• Mitsuru Ishizuka, Yutaka Matsuo:
  SL Method for Computing a Near-Optimal Solution Using Linear and Non-linear Programming in Cost-Based Hypothetical Reasoning. 611-625
  

Image Retrieval and Speech Recognition

• Hideyuki Kobayashi, Yoriyuki Okouchi, Shunji Ota:
  Image Retrieval System Using KANSEI Features. 626-635
  
• Hoon-Young Cho, Sang-Mun Chi, Yung-Hwan Oh:
  A Robust Front-End for Telephone Speech Recognition. 636-644