PRICAI 2002: Trends in Artificial Intelligence : 7th Pacific Rim International Conference on Artificial Intelligence, Tokyo, Japan, August 18-22, 2002. Proceedings

The Paci?c Rim International Conferences on Arti?cial Intelligence (PRICAI) are biennial international events. The PRICAI series aims at stimulating - search by promoting exchange and cross-fertilization of ideas among di?erent branches of Arti?cial Intelligence. It also provides a common forum for rese- chers and practitioners in various ?elds of AI to exchange new ideas and share their experience. This volume contains the proceedings of the 7th Paci?c Rim Internat- nal Conference on Arti?cial Intelligence (PRICAI 2002) heldin Tokyo, Japan. PRICAI 2002 received161 submissions from 25 countries. From these, 57 papers (35%) were acceptedfor presentation andare includedin this volume. Over 30 papers were acceptedfor poster presentations, anda 1-page abstract for each poster is includedin this volume. All submittedpapers were refereedby two or more reviewers selectedby the Program Committee members. The reviewers’ comments were carefully examinedanddiscussedby the members of the P- gram Committee to ensure fairness andconsistency in the selection process. The papers in this volume give an indication of new trends in Arti?cial Intelligence. The topics covered include AI Foundations, Knowledge Repres- tation andReasoning, Constraint Satisfaction, Machine Learning, Knowledge Acquisition andManagement, Agents andTheir Applications, Neural Networks, Document Analysis andCategorization, Internet/Web Intelligence, Multimedia andEmotion, Intelligent Robots, andMachine Perception.

Invited Talks.- Commercial Applications of Machine Learning for Personalized Wireless Portals.- Learning, Collecting, and Using Ontological Knowledge for NLP.- Hidden Variables in Knowledge Representation.- Intellimedia Systems: Research and Applications at the Intersection of Multimedia and Artificial Intelligence.- Integration of Multimedia and Art for New Human-Computer Communications.- Logic and AI Foundation.- R-UNSEARCHMO: A Refinement on UNSEARCHMO.- Deontic Relevant Logic: A Strong Relevant Logic Approach to Removing Paradoxes from Deontic Logic.- Solving the Ramification Problem: Causal Propagation in an Argumentation-Theoretic Approach.- Representation and Reasoning of Actions.- Representing Actions over Dynamic Domains.- Consistency of Action Descriptions.- Solving Factored MDPs with Large Action Space Using Algebraic Decision Diagrams.- Dynamic Fuzziness.- Constraint Satisfaction.- Distributed Reinforcement of Arc-Consistency.- Parallel Execution of Stochastic Search Procedures on Reduced SAT Instances.- Two Transformations of Clauses into Constraints and Their Properties for Cost-Based Hypothetical Reasoning.- Foundations for Agents.- Hidden Markov Modeling for Multi-agent Systems.- Modelling PRS-Like Agents’ Mental States.- Genetic Algorithm and Social Simulation.- Foundations for Learning.- Adaptive Directed Acyclic Graphs for Multiclass Classification.- Network Optimization through Learning and Pruning in Neuromanifold.- DIC: A Novel Discrete Incremental Clustering Technique for the Derivation of Fuzzy Membership Functions.- Reinforcement Learning.- Application of Episodic Q-Learning to a Multi-agent Cooperative Task.- LC-Learning: Phased Method for Average Reward Reinforcement Learning —Analysis of Optimal Criteria —.- LC-Learning: Phased Method for Average Reward Reinforcement Learning —Preliminary Results —.- Knowledge Acquisition and Management.- Extension of the RDR Method That Can Adapt to Environmental Changes and Acquire Knowledge from Both Experts and Data.- Case Generation Method for Constructing an RDR Knowledge Base.- Data Mining and Knowledge Discovery.- Association Rules Using Rough Set and Association Rule Methods.- Change-Point Estimation Using New Minimum Message Length Approximations.- Knowledge Discovery from Structured Data by Beam-Wise Graph-Based Induction.- Neural Network Learning.- BackPOLE: Back Propagation Based on Objective Learning Errors.- A Method on Improvement of the Online Mode Error Backpropagation Algorithm for Pattern Recognition.- Optimizing a Multiple Classifier System.- Learning for Robots.- Generalization of Iterative Learning Control for Multiple Desired Trajectories in Robotic Systems.- Learning Topological Maps from Sequential Observation and Action Data under Partially Observable Environment.- A Saliency Map Model for Active Perception Using Color Information and Local Competitive Mechanism.- Generation of Optimal Biped Walking for Humanoid Robot by Co-evolving Morphology and Controller.- Multi-agent Applications.- Multi-agent Coordination in Planning.- A Multi-agent Based Approach to the Inventory Routing Problem.- An Agent-Based Hybrid Intelligent System for Financial Investment Planning.- Socially Intelligent Aerial Combat Simulator.- Bayesian Network.- Construction of Large-Scale Bayesian Networks by Local to Global Search.- Using Bayesian Networks with Hidden Nodes to Recognise Neural Cell Morphology.- Recognizing 100 Speakers Using Homologous Naive Bayes.- Document Analysis and Categorization.- An Approach to Microscopic Clustering of Terms and Documents.- Effective Methods for Improving Naive Bayes Text Classifiers.- Efficiently Clustering Documents with Committees.- Topic Extraction from Text Documents Using Multiple-Cause Networks.- A Comparative Study on Statistical Machine Learning Algorithms and Thresholding Strategies for Automatic Text Categorization.- PATI: An Approach for Identifying and Resolving Ambiguities.- Internet/Web Intelligence and Bioinformatics.- Extracting User Profiles from E-mails Using the Set-Oriented Classifier.- Wrapper Generation by Using XML-Based Domain Knowledge for Intelligent Information Extraction.- Modified PrefixSpan Method for Motif Discovery in Sequence Databases.- A Multi-agent Bioinformatics Integration System with Adjustable Autonomy.- Intelligent Learning Environments.- Using Case-Based Reasoning Approach in Planning Instructional Activities.- Feature Construction for Student Group Forming Based on Their Browsing Behaviors in an E-learning System.- Web-Based Tutoring System for Computer Security.- Face Recognition.- A Simple Illumination Normalization Algorithm for Face Recognition.- A Self-Adaptive Architecture and Its Application to Robust Face Identification.- Multimedia and Emotion.- Realizing Audio-Visually Triggered ELIZA-Like Non-verbal Behaviors.- Audio-to-Visual Conversion Using Hidden Markov Models.- Scripting the Bodies and Minds of Life-Like Characters.- An Affective Decision Making Agent Architecture Using Emotion Appraisals.- Poster Papers.- Logic Programming for Agents.- Evolutionary Multi-agents System for Prediction of Social Behavior in Large Cities.- Agent-Based Cooperative Distributed Tutoring Systems.- A Computational Model of Reasoning as Socially-Constructed Process.- Managing Information Complexity of Supply Chains via Agent-Based Genetic Programming.- Semantic Integration of E-business Models Based on Multi-layered Repository.- Randomization and Uncertain Inference.- Checkers Strategy Evolution with Speciated Neural Networks.- Generation and Optimization of Fuzzy Neural Network Structure.- FuzzyDrive: A Fuzzy Rule-Based Auto Pilot System.- Implementing NRDR Using OO Database Management System (OODBMS).- Using Ripple Down Rules for Actions and Planning.- A Generative Dependency Grammar.- Indonesian Morphological Parser with Minimum Connectivity Cost to Solve Ambiguities.- Target Word Selection Using WordNet and Data-Driven Models in Machine Translation.- A Study on Using Natural Language as a Computer Communication Protocol.- Automatic Indexing Based on Term Activities.- Answer Extraction by Flexible Matching, Filtering, and Interpretation.- A Statistical Identification and Verification Method for Biometrics.- Proposal of a Multimodal Dialogue Description Language.- Image Classification by Web Images.- Real-Time Face Detection and Tracking Using PCA and NN.- A Wrapper-Based Approach to Robot Learning Concepts from Images.- An Effective HMM-Based Intrusion Detection System with Privilege Change Event Modeling.- A Method on Improving of Enrolling Speed for the MLP-Based Speaker Verification System through Reducing Learning Data.- Syntactic Representations of Semantic Merging Operations.