From Fault Classification to Fault Tolerance for Multi-Agent Systems
Faults are a concern for Multi-Agent Systems (MAS) designers, especially if the MAS are built for industrial or military use because there must be some guarantee of dependability. Some fault classification exists for classical systems, and is used to defi
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Katia Potiron Amal El Fallah Seghrouchni Patrick Taillibert
From Fault Classification to Fault Tolerance for Multi-Agent Systems
SpringerBriefs in Computer Science
Series Editors Stan Zdonik Peng Ning Shashi Shekhar Jonathan Katz Xindong Wu Lakhmi C. Jain David Padua Xuemin Shen Borko Furht V. S. Subrahmanian Martial Hebert Katsushi Ikeuchi Bruno Siciliano
For further volumes: http://www.springer.com/series/10028
Katia Potiron Amal El Fallah Seghrouchni Patrick Taillibert •
From Fault Classification to Fault Tolerance for Multi-Agent Systems
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Patrick Taillibert Thales Airborne Systems Louveciennes, Yvelines France
Katia Potiron Thales Airborne Systems Louveciennes, Yvelines France Amal El Fallah Seghrouchni LIP6, University Pierre and Marie Curie Paris France
ISSN 2191-5768 ISBN 978-1-4471-5045-9 DOI 10.1007/978-1-4471-5046-6
ISSN 2191-5776 (electronic) ISBN 978-1-4471-5046-6 (eBook)
Springer London Heidelberg New York Dordrecht Library of Congress Control Number: 2013932457 Ó The Author(s) 2013 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
This book presents a summary of the research achieved by Katia Potiron during her Ph.D. Thesis defended on 14 April 2010 at the University Paris 6. This thesis was co-supervised by Patrick Tailliber
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