Inter-cooperative Collective Intelligence: Techniques and Applications
This book covers the latest advances in the rapid growing field of inter-cooperative collective intelligence aiming the integration and cooperation of various computational resources, networks and intelligent processing paradigms to collectively build int
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Fatos Xhafa Nik Bessis (Eds.)
Inter-cooperative Collective Intelligence: Techniques and Applications
495
Studies in Computational Intelligence Volume 495
Series Editor J. Kacprzyk, Warsaw, Poland
For further volumes: http://www.springer.com/series/7092
Fatos Xhafa Nik Bessis •
Editors
Inter-cooperative Collective Intelligence: Techniques and Applications
123
Editors Fatos Xhafa Departament de Llenguatges I Sistemes Informàtics Universitat Politècnica de Catalunya Barcelona Spain
ISSN 1860-949X ISBN 978-3-642-35015-3 DOI 10.1007/978-3-642-35016-0
Nik Bessis School of Computer Science and Mathematics University of Derby Derby UK
ISSN 1860-9503 (electronic) ISBN 978-3-642-35016-0 (eBook)
Springer Heidelberg New York Dordrecht London Library of Congress Control Number: 2013945157 Ó Springer-Verlag Berlin Heidelberg 2014 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. The use of general descriptive names, registered names, trademarks, service marks, 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. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Preface
The emergence of various computational paradigms, from Sensor Networks and Internet of Things (IoT) to Social Networking, Cloud and Data Centers, is manifesting the need for their integration into larger computational systems to support end users with collective intelligence and decision-supporting systems in an intercooperative mode. Such integration and collective building of i
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