This book constitutes the refereed proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2008, held in Hanoi, Vietnam, in December 2008.
The 49 revised long papers, 33 revised regular papers, and 32 poster papers presented together with 1 keynote talk and 3 invited lectures were carefully reviewed and selected from 234 submissions. The papers address all current issues of modern AI research with topics such as AI foundations, knowledge representation, knowledge acquisition and ontologies, evolutionary computation, etc. as well as various exciting and innovative applications of AI to many different areas. Particular importance is attached to the areas of machine learning and data mining, intelligent agents, language and speech processing, information retrieval and extraction.
Klappentext
The Pacific Rim International Conference on Artificial Intelligence (PRICAI) is one of the preeminent international conferences on artificial intelligence (AI). PRICAI 2008 (http://www.jaist.ac.jp/PRICAI-08/) was the tenth in this series of biennial int- national conferences highlighting the most significant contributions to the field of AI. The conference was held during December 15-19, 2008, in the beautiful city Hanoi, the capital of Vietnam. As in previous years this year's technical program saw very high standards in both the submission and paper review process, resulting in an exciting program that reflects the great variety and depth of modern AI research. This year's contributions covered all traditional areas of AI, including AI foundations, knowledge representation, knowledge acquisition and ontologies, evolutionary computation, etc., as well as va- ous exciting and innovative applications of AI to many different areas. There was particular emphasis in the areas of machine learning and data mining, intelligent agents, language and speech processing, information retrieval and extraction.
Inhalt
Keynotes.- What Shall We Do Next? The Challenges of AI Midway through Its First Century.- Exposing the Causal Structure of Processes by Learning CP-Logic Programs.- Building Structured Web Community Portals Via Extraction, Integration, and Mass Collaboration.- Large Scale Corpus Analysis and Recent Applications.- On the Computability and Complexity Issues of Extended RDF.- Toward Formalizing Common-Sense Psychology: An Analysis of the False-Belief Task.- Computing Stable Skeletons with Particle Filters.- Using Semantic Web Technologies for the Assessment of Open Questions.- Quantifying Commitment.- Temporal Data Mining for Educational Applications.- Dual Properties of the Relative Belief of Singletons.- Alternative Formulations of the Theory of Evidence Based on Basic Plausibility and Commonality Assignments.- Non-negative Sparse Principal Component Analysis for Multidimensional Constrained Optimization.- Sentence Compression by Removing Recursive Structure from Parse Tree.- An ATP of a Relational Proof System for Order of Magnitude Reasoning with Negligibility, Non-closeness and Distance.- A Heuristic Data Reduction Approach for Associative Classification Rule Hiding.- Evolutionary Computation Using Interaction among Genetic Evolution, Individual Learning and Social Learning.- Behavior Learning Based on a Policy Gradient Method: Separation of Environmental Dynamics and State Values in Policies.- Developing Evaluation Model of Topical Term for Document-Level Sentiment Classification.- Learning to Identify Comparative Sentences in Chinese Text.- Efficient Exhaustive Generation of Functional Programs Using Monte-Carlo Search with Iterative Deepening.- Identification of Subject Shareness for Korean-English Machine Translation.- Agent for Predicting Online Auction Closing Price in a Simulated Auction Environment.- Feature Selection Using Mutual Information: An Experimental Study.- Finding Orthogonal Arrays Using Satisfiability Checkers and Symmetry Breaking Constraints.- Statistical Model for Japanese Abbreviations.- A Novel Heuristic Algorithm for Privacy Preserving of Associative Classification.- Time-Frequency Analysis of Vietnamese Speech Inspired on Chirp Auditory Selectivity.- Meta-level Control of Multiagent Learning in Dynamic Repeated Resource Sharing Problems.- Ontology-Based Natural Query Retrieval Using Conceptual Graphs.- Optimal Multi-issue Negotiation in Open and Dynamic Environments.- The Density-Based Agglomerative Information Bottleneck.- State-Based Regression with Sensing and Knowledge.- Some Results on the Completeness of Approximation Based Reasoning.- KT and S4 Satisfiability in a Constraint Logic Environment.- Clustering with Feature Order Preferences.- Distributed Memory Bounded Path Search Algorithms for Pervasive Computing Environments.- Using Cost Distributions to Guide Weight Decay in Local Search for SAT.- Fault Resolution in Case-Based Reasoning.- Constrained Sequence Classification for Lexical Disambiguation.- Map Building by Sequential Estimation of Inter-feature Distances.- Document-Based HITS Model for Multi-document Summarization.- External Force for Active Contours: Gradient Vector Convolution.- Representation = Grounded Information.- Learning from the Past with Experiment Databases.- An Argumentation Framework Based on Conditional Priorities.- Knowledge Supervised Text Classification with No Labeled Documents.- Constrained Local Regularized Transducer for Multi-Component Category Classification.- Low Resolution Gait Recognition with High Frequency Super Resolution.- NIIA: Nonparametric Iterative Imputation Algorithm.- Mining Multidimensional Data through Element Oriented Analysis.- Evolutionary Feature Selections for Face Detection System.- A Probabilistic Approach to the Interpretation of Spoken Utterances.- Regular Papers.- Towards Autonomous Robot Operation: Path Map Generation of an Unknown Area by a New Trapezoidal Approximation Method Using a Self Guided Vehicle and Shortest Path Calculation by a Proposed SRS Algorithm.- Exploring Combinations of Ontological Features and Keywords for Text Retrieval.- Instance Management Problems in the Role Model of Hozo.- Advancing Topic Ontology Learning through Term Extraction.- Handling Unknown and Imprecise Attribute Values in Propositional Rule Learning: A Feature-Based Approach.- Fuzzy Knowledge Discovery from Time Series Data for Events Prediction.- Evolution of Migration Behavior with Multi-agent Simulation.- Constraint Relaxation Approach for Over-Constrained Agent Interaction.- Structure Extraction from Presentation Slide Information.- Combining Local and Global Resources for Constructing an Error-Minimized Opinion Word Dictionary.- An Improvement of PAA for Dimensionality Reduction in Large Time Series Databases.- Stability Margin for Linear Systems with Fuzzy Parametric Uncertainty.- An Imperative Account of Actions.- Natural Language Interface Construction Using Semantic Grammars.- Exploiting the Role of Named Entities in Query-Oriented Document Summarization.- A Probabilistic Model for Understanding Composite Spoken Descriptions.- Fuzzy Communication Reaching Consensus under Acyclic Condition.- Probabilistic Nogood Store as a Heuristic.- Semantic Filtering for DDL-Based Service Composition.- Prediction of Protein Functions from Protein Interaction Networks: A Naïve Bayes Approach.- Multi-class Support Vector Machine Simplification.- A Syntactic-based Word Re-ordering for English-Vietnamese Statistical Machine Translation System.- A Multi-modal Particle Filter Based Motorcycle Tracking System.- Bayesian Inference on Hidden Knowledge in High-Throughput Molecular Biology Data.- Personalized Search Using ODP-based User Profiles Created from User Bookmark.- Domain-Driven Local Exceptional Pattern Mining for Detecting Stock Price Manipulation.- A Graph-Based Method for Combining Collaborative and Content-Based Filtering.- Hierarchical Differential Evolution for Parameter Estimation in Chemical Kinetics.- Differ…