Hybrid Artificial Intelligent Systems 6th International Conferen
The two LNAI volumes 6678 and 6679 constitute the proceedings of the 6th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2011, held in Wroclaw, Poland, in May 2011. The 114 papers published in these proceedings were carefully revie
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Subseries of Lecture Notes in Computer Science
6678
Emilio Corchado Marek Kurzy´nski Michał Wo´zniak (Eds.)
Hybrid Artificial Intelligent Systems 6th International Conference, HAIS 2011 Wroclaw, Poland, May 23-25, 2011 Proceedings, Part I
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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 University of Salamanca Faculty of Biology BISITE Research Group Salamanca, Spain E-mail: [email protected] Marek Kurzy´nski Michał Wo´zniak Wroclaw University of Technology Faculty of Electronics Department of Systems and Computer Networks Wroclaw, Poland E-mail: {marek.kurzynski,michal.wozniak}@pwr.wroc.pl
ISSN 0302-9743 e-ISSN 1611-3349 e-ISBN 978-3-642-21219-2 ISBN 978-3-642-21218-5 DOI 10.1007/978-3-642-21219-2 Springer Heidelberg Dordrecht London New York Library of Congress Control Number: Applied for CR Subject Classification (1998): I.2, H.3, F.1, H.4, I.4, I.5 LNCS Sublibrary: SL 7 – Artificial Intelligence
© Springer-Verlag Berlin Heidelberg 2011 This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, re-use of illustrations, recitation, broadcasting, reproduction on microfilms or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer. Violations are liable to prosecution under the German Copyright Law. The use of general descriptive names, registered names, trademarks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. Typesetting: Camera-ready by author, data conversion by Scientific Publishing Services, Chennai, India Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Preface
Hybrid intelligent systems are becoming more and more popular due to their capabilities in handling many real-world complex problems, involving imprecision, uncertainty, vagueness and high dimensionality. Intelligent systems are pervasive in our society and growing in size and complexity at an astonishing pace, and the response to the coming challenges will come; as always it has the modularity and the ability to decompose problems and find the best partial solution. In this paradigm, hybrid intelligent systems are the natural approach to the problems, rather than the exceptional case. They provide us with the opportunity to use both our knowledge and raw data to solve problems in a more interesting and promising way. This multidisciplinary research field is in a continuous expansion within the artificial intelligence research community. The 6t
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