Hybrid Artificial Intelligence Systems Third International Works
This volume constitutes the proceedings of the Third International Workshop on Hybrid Artificial Intelligence Systems, HAIS 2008, held in Burgos, Spain, during September 24-26, 2008. The 93 papers presented, together with 4 invited talks, were
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Subseries of Lecture Notes in Computer Science
5271
Emilio Corchado Ajith Abraham Witold Pedrycz (Eds.)
Hybrid Artificial Intelligence Systems Third International Workshop, HAIS 2008 Burgos, Spain, September 24-26, 2008 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 Universidad de Burgos Escuela Politécnica Superior GICAP Research Group E-mail: [email protected] Ajith Abraham Norwegian University of Science and Technology Center of Excellence for Quantifiable Quality of Service 7491 Trondheim, Norway E-mail: [email protected] Witold Pedrycz University of Alberta Department of Electrical and Computer Engineering Edmonton, Alberta T6G 2V4, Canada E-mail: [email protected]
Library of Congress Control Number: 2008935394
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 3-540-87655-3 Springer Berlin Heidelberg New York 978-3-540-87655-7 Springer Berlin Heidelberg New York
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Preface
The Third International Workshop on Hybrid Artificial Intelligence Systems (HAIS 2008) presented the most recent developments in the dynamically expanding realm of symbolic and sub-symbolic techniques aimed at the construction of highly robust and reliable problem-solving techniques. 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, high-dimensionality, and non stationarity. 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 workshops offers a unique research forum to present and discuss the latest theoretical advances and real-world applications in this exciting research field. This volume of Lecture Notes on Artificial Intelligence (LNAI) includes accepte
