Model Checking and Artificial Intelligence 5th International Wor
This book constitutes the thoroughly refereed post-workshop proceedings of the 5th Workshop on Model Checking and Artificial Intelligence, MOCHART 2008, held in Patras, Greece, in July 2008 as a satellite event of ECAI 2008, the 18th biannual European con
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Subseries of Lecture Notes in Computer Science
5348
Doron A. Peled Michael J. Wooldridge (Eds.)
Model Checking and Artificial Intelligence 5th International Workshop, MoChArt 2008 Patras, Greece, July 21, 2008 Revised Selected and Invited Papers
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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 Doron A. Peled Bar Ilan University Ramat Gan, 52900, Israel E-mail: [email protected] Michael J. Wooldridge University of Liverpool Liverpool L69 3BX, UK E-mail: [email protected]
Library of Congress Control Number: 2009921993
CR Subject Classification (1998): I.2.3, I.2, F.4.1, F.3, D.2.4, D.1.6 LNCS Sublibrary: SL 7 – Artificial Intelligence ISSN ISBN-10 ISBN-13
0302-9743 3-642-00430-X Springer Berlin Heidelberg New York 978-3-642-00430-8 Springer Berlin Heidelberg New York
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. springer.com © Springer-Verlag Berlin Heidelberg 2009 Printed in Germany Typesetting: Camera-ready by author, data conversion by Scientific Publishing Services, Chennai, India Printed on acid-free paper SPIN: 12623488 06/3180 543210
Preface
Model checking is a branch of software and hardware verification that involves developing algorithms for the automatic verification of systems. Originating from mathematical logic, “model checking” stands for the process of determining whether or not a formula of some logic is satisfied by a model for the logic. Initiated two and a half decades ago, with papers that have gained their authors the 2007 Turing award, this active research area has resulted in rich theory, and the development of a number of widely used model-checking tools. These include Carnegie-Mellon’s SMV, Cadence-SMV, and Bell Laboratories’ SPIN. Some of the main activities in model checking involve development of expressive specification formalisms, in particular, temporal logics, the modeling of systems, and finding efficient algorithms for automatically checking that a model of a system satisfies its temporal specification. The success of model checking in the computer-aided verification community has led to a growth of interest in the use of model checking in AI. One common interest between these two fields is verification of autonomous systems. Logics for autonomous systems can express properties that are not commonly used for reactive systems, expressing properties related to the knowledge and
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