PRICAI 2000 Topics in Artificial Intelligence: 6th Pacific Rim International Conference on Artificial Intelligence Melbourne, Australia, August 28 - September 1, 2000 ProceedingsSpringer Science & Business Media, 2000 M08 21 - 835 pages 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. |
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Contents
Building Artificial Negotiators | 1 |
Logic and Foundations of | 16 |
A Unifying Semantics for Causal Ramifications | 38 |
Induction and Logic Programming | 61 |
Using Domain Knowledge in ILP to Discover Protein Functional Models | 83 |
Knowledge Reformation | 93 |
Reinforcement Learning | 115 |
Agent Systems | 125 |
Genetic Programming | 435 |
Evolving Neural Networks for Decomposable Problems | 446 |
Constraint Satisfaction | 457 |
Consistency in General CSPs | 469 |
Neural Networks | 480 |
Productivity Improvements through Prediction of Electrolyte | 490 |
Optimal Design of Neural Nets Using Hybrid Algorithms | 510 |
Generating Hierarchical Structure in Reinforcement Learning | 533 |
A Region Selecting Method Which Performs Observation and Action | 136 |
The Lumberjack Algorithm for Learning Linked Decision Forests | 156 |
An Efficient Learning Algorithm Using Natural Gradient | 199 |
An Algorithm for Checking Dependencies of Attributes in a Table | 219 |
Bayesian Networks | 241 |
Efficient Inference in Dynamic Belief Networks | 264 |
Beliefs and Intentions in Agents | 277 |
Perceiving Environments for Intelligent Agents | 297 |
Autonomous Agents | 318 |
Unified Criterion of State Generalization for Reactive Autonomous Agents | 340 |
A Multiagent Approach for Optical Inspection Technology | 362 |
The Use of Mobile Agents in Tracing an Intruder in a Local Area Network | 373 |
A Framework to Model Multiple Environments in Multiagent Systems | 383 |
Task Models Intentions and Agent Conversation Policies | 394 |
Genetic Algorithms | 404 |
Designing Wastewater Collection Systems Using Genetic Algorithms | 415 |
Hybrid Genetic Algorithms Are Better for Spatial Clustering | 424 |
Overcoming the Effects of Sensory Delay by Using a Cerebellar Model | 555 |
Image Processing and Pattern Recognition | 577 |
A Framework of TwoStage Combination of Multiple Recognizers | 617 |
Interactive JapanesetoBraille Translation | 638 |
Statistical Model Based Approach to Spoken Language Acquisition | 657 |
Collaborative Filtering with the Simple Bayesian Classifier | 679 |
Solving the Personal Computer Configuration Problems | 701 |
Functional Understanding Based on an Ontology of Functional Concepts | 723 |
A Diagnosis Function of Arithmetical Word Problems | 745 |
AI and Music | 767 |
Posters | 789 |
Data Mining in Disease Management A Diabetes Case Study | 799 |
A Comparative Analysis | 812 |
A Multiagent Approach for Simulating Bushfire Spread | 814 |
ModelBased Software Requirements Design | 827 |
Intrusion Detection by Combining Multiple Hidden Markov Models | 829 |
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PRICAI 2000 Topics in Artificial Intelligence: 6th Pacific Rim International ... 溝口理一郎 Limited preview - 2000 |
Common terms and phrases
Abstract action applied approach argument Artificial Intelligence attributes autonomous agent Bayesian belief Berlin Heidelberg 2000 BIAS classifier clustering collaborative filtering Computer concept constraints data sets database decision tree defeasible defeasible logic defined distribution domain dynamic encoding environment epistemic equation equivalence relation error evaluation example Figure filter function genetic algorithms heuristics inference input instance intention International iterative k-MEANS Kalman filter knowledge layer LNAI logic Machine Learning method Mizoguchi module naive Bayes classifier neural network nodes noise observation optimal output paper parameters path performance POMDP position predicate logic prediction PRICAI probability problem proposed proposition Q-learning reinforcement learning rejoinder relation represent representation reward robot Rough Sets rule Section segment selected semantics SHIFOR SHIFOR94 shows Slaney Eds solution space specification Springer-Verlag Berlin Heidelberg step Table task training data tuple user's variables vector weight