Hybrid Artificial Intelligence Systems 4th International Conference,
This volume constitutes the refereed proceedings of the 4th International Workshop on Hybrid Artificial Intelligence Systems, HAIS 2009, held in Salamanca, Spain, in June 2009. The 85 papers presented, were carefully reviewed and selected from 206 submiss
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Subseries of Lecture Notes in Computer Science
5572
Emilio Corchado Xindong Wu Erkki Oja Álvaro Herrero Bruno Baruque (Eds.)
Hybrid Artificial Intelligence Systems 4th International Conference, HAIS 2009 Salamanca, Spain, June 10-12, 2009 Proceedings
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Series Editors Randy Goebel, University of Alberta, Edmonton, Canada Jörg Siekmann, University of Saarland, Saarbrücken, Germany Wolfgang Wahlster, DFKI and University of Saarland, Saarbrücken, Germany Volume Editors Emilio Corchado Álvaro Herrero Bruno Baruque Universidad de Burgos, Grupo de Investigación GICAP Área de Lenguajes y Sistemas Informáticos, Departamento de Ingeniería Civil Escuela Politécnica Superior - Campus Vena, Francisco de Vitoria 09006 Burgos, Spain E-mail: {escorchado; ahcosio; [email protected]} Xindong Wu University of Vermont, Department of Computer Science 33 Colchester Avenue, Burlington VT, USA E-mail: [email protected] Erkki Oja Helsinki University of Technology, Computer and Information Science P.O. Box 5400, 02015 HUT, Finland E-mail: [email protected]
Library of Congress Control Number: Applied for
CR Subject Classification (1998): I.2.6, I.2, H.3, H.4, H.2.8, F.2.2, I.4-6 LNCS Sublibrary: SL 7 – Artificial Intelligence ISSN ISBN-10 ISBN-13
0302-9743 3-642-02318-5 Springer Berlin Heidelberg New York 978-3-642-02318-7 Springer Berlin Heidelberg New York
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Preface
The 4th International Conference on Hybrid Artificial Intelligence Systems (HAIS 2009), as the name suggests, attracted researchers who are involved in developing and applying symbolic and sub-symbolic techniques aimed at the construction of highly robust and reliable problem-solving techniques, and bringing the most relevant achievements in this field. Hybrid intelligent systems have become increasingly popular given their capabilities to handle a broad spectrum of real-world complex problems which come with inherent imprecision, uncertainty and vagueness, highdimensionality, and nonstationarity. These systems provide us with the opportunity to exploit existing domain knowledge as well as raw data to come up with promising solutions in an effective manner. Being truly multidisciplinary, the series of HAIS conferences offers an interesting research forum to present a
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