Overview

Editors:

Tu-Bao Ho⁰,
Zhi-Hua Zhou¹

Tu-Bao Ho
1. Japan Advanced Institute of Science and Technology, Nomi, Japan
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Zhi-Hua Zhou
1. Department of Computer Science & Technology, Nanjing University, China
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 5351)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

PRICAI: Pacific Rim International Conference on Artificial Intelligence

Conference proceedings info: PRICAI 2008.

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About this book

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.

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Table of contents (117 papers)

Front Matter

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Keynotes
1. What Shall We Do Next? The Challenges of AI Midway through Its First Century
  
  Paul R. Cohen
  
  Pages 1-1
2. Exposing the Causal Structure of Processes by Learning CP-Logic Programs
  
  Hendrik Blockeel
  
  Pages 2-2
3. Building Structured Web Community Portals Via Extraction, Integration, and Mass Collaboration
  
  An-Hai Doan
  
  Pages 3-3
4. Large Scale Corpus Analysis and Recent Applications
  
  Yuji Matsumoto
  
  Pages 4-4
5. On the Computability and Complexity Issues of Extended RDF
  
  Anastasia Analyti, Grigoris Antoniou, Carlos Viegas Damásio, Gerd Wagner
  
  Pages 5-16
6. Toward Formalizing Common-Sense Psychology: An Analysis of the False-Belief Task
  
  Konstantine Arkoudas, Selmer Bringsjord
  
  Pages 17-29
7. Computing Stable Skeletons with Particle Filters
  
  Xiang Bai, Xingwei Yang, Longin Jan Latecki, Yanbo Xu, Wenyu Liu
  
  Pages 30-41
8. Using Semantic Web Technologies for the Assessment of Open Questions
  
  Dagoberto Castellanos-Nieves, Jesualdo Tomas Fernandez-Breis, Rafael Valencia-Garcia, Carlos Cruz, Maria Paz Prendes-Espinosa, Rodrigo Martinez-Bejar
  
  Pages 42-53
9. Quantifying Commitment
  
  Timothy William Cleaver, Abdul Sattar
  
  Pages 54-65
10. Temporal Data Mining for Educational Applications
  
  Carole R. Beal, Paul R. Cohen
  
  Pages 66-77
11. Dual Properties of the Relative Belief of Singletons
  
  Fabio Cuzzolin
  
  Pages 78-90
12. Alternative Formulations of the Theory of Evidence Based on Basic Plausibility and Commonality Assignments
  
  Fabio Cuzzolin
  
  Pages 91-102
13. Non-negative Sparse Principal Component Analysis for Multidimensional Constrained Optimization
  
  Thanh D. X. Duong, Vu N. Duong
  
  Pages 103-114
14. Sentence Compression by Removing Recursive Structure from Parse Tree
  
  Seiji Egawa, Yoshihide Kato, Shigeki Matsubara
  
  Pages 115-127
15. An ATP of a Relational Proof System for Order of Magnitude Reasoning with Negligibility, Non-closeness and Distance
  
  Joanna Golińska-Pilarek, Angel Mora, Emilio Muñoz-Velasco
  
  Pages 128-139
16. A Heuristic Data Reduction Approach for Associative Classification Rule Hiding
  
  Juggapong Natwichai, Xingzhi Sun, Xue Li
  
  Pages 140-151
17. Evolutionary Computation Using Interaction among Genetic Evolution, Individual Learning and Social Learning
  
  Takashi Hashimoto, Katsuhide Warashina
  
  Pages 152-163
18. Behavior Learning Based on a Policy Gradient Method: Separation of Environmental Dynamics and State Values in Policies
  
  Seiji Ishihara, Harukazu Igarashi
  
  Pages 164-174
19. Developing Evaluation Model of Topical Term for Document-Level Sentiment Classification
  
  Yi Hu, Wenjie Li, Qin Lu
  
  Pages 175-186

Other volumes

PRICAI 2008: Trends in Artificial Intelligence

Editors and Affiliations

Japan Advanced Institute of Science and Technology, Nomi, Japan

Tu-Bao Ho
Department of Computer Science & Technology, Nanjing University, China

Zhi-Hua Zhou

Bibliographic Information

Book Title: PRICAI 2008: Trends in Artificial Intelligence
Book Subtitle: 10th Pacific Rim International Conference on Artificial Intelligence, Hanoi, Vietnam, December 15-19, 2008, Proceedings
Editors: Tu-Bao Ho, Zhi-Hua Zhou
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-540-89197-0
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2008
Softcover ISBN: 978-3-540-89196-3Published: 24 November 2008
eBook ISBN: 978-3-540-89197-0Published: 04 December 2008
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXIV, 1130
Topics: Artificial Intelligence

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PRICAI 2008: Trends in Artificial Intelligence