PRICAI 2006: Trends in Artificial Intelligence 9th Pacific Rim I
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Subseries of Lecture Notes in Computer Science
4099
Qiang Yang Geoff Webb (Eds.)
PRICAI 2006: Trends in Artificial Intelligence 9th Pacific Rim International Conference on Artificial Intelligence Guilin, China, August 7-11, 2006 Proceedings
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Series Editors Jaime G. Carbonell, Carnegie Mellon University, Pittsburgh, PA, USA Jörg Siekmann, University of Saarland, Saarbrücken, Germany Volume Editors Qiang Yang Hong Kong University of Science and Technology Department of Computer Science and Engineering Clearwater Bay, Kowloon, Hong Kong, China E-mail: [email protected] Geoff Webb Monash University School of Information Technology P.O. Box 75, Victoria 3800, Australia E-mail: [email protected]
Library of Congress Control Number: 2006929802
CR Subject Classification (1998): I.2, F.1 LNCS Sublibrary: SL 7 – Artificial Intelligence ISSN ISBN-10 ISBN-13
0302-9743 3-540-36667-9 Springer Berlin Heidelberg New York 978-3-540-36667-6 Springer Berlin Heidelberg New York
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Preface
The Pacific Rim International Conference on Artificial Intelligence (PRICAI) is one of the preeminent international conferences on artificial intelligence (AI). PRICAI 2006 (http://www.csse.monash.edu.au/pricai06/Header.htm) was the ninth in this series of biennial international conferences highlighting the most significant contributions to the field of AI. The conference was held during August 7-11, 2006, in the beautiful city of Guilin in Guangxi Province, China. 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 machine learning and data mining, knowledge representation and planning, probabilistic reasoning, constraint satisfaction, computer vision and automated agents, as well as various 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, evolutionary computing and intelligent image and video analysis. The technical papers in
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