Model Checking and Artificial Intelligence 4th Workshop, MoChArt IV,
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Subseries of Lecture Notes in Computer Science
4428
Stefan Edelkamp Alessio Lomuscio (Eds.)
Model Checking and Artificial Intelligence 4th Workshop, MoChArt IV Riva del Garda, Italy, August 29, 2006 Revised Selected and Invited Papers
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Series Editors Jaime G. Carbonell, Carnegie Mellon University, Pittsburgh, PA, USA Jörg Siekmann, University of Saarland, Saarbrücken, Germany Volume Editors Stefan Edelkamp University of Dortmund Computer Science Department Otto-Hahn-Straße 14, 44227 Dortmund, Germany E-mail: [email protected] Alessio Lomuscio Imperial College London Department of Computing 180 Queen’s Gate, London SW7 2AZ, UK E-mail: [email protected]
Library of Congress Control Number: 2007932185
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 3-540-74127-5 Springer Berlin Heidelberg New York 978-3-540-74127-5 Springer Berlin Heidelberg New York
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Preface
Exploration of very large search spaces lies at the heart of many disciplines in computer science and engineering, especially systems verification and artificial intelligence. In particular, the technique of model checking is used to automatically verify the properties of a system. In the model checking approach, verifying that a system S satisfies a property P is investigated by automatically checking the satisfiability of the expression MS |= φP , where MS is a suitable model representing all evolutions of S, and φP is a logical formula capturing the property P to be checked. Model checking and artificial intelligence have enjoyed a healthy interchange of ideas over the past few years. On the one hand, model checking techniques have benefited from efficient search algorithms developed in artificial intelligence thereby increasing their efficiency, on the other, model checking techniques have been extended to deal with typical artificial intelligence formalisms, such as epistemic logics, thereby permitting the verification of systems based on artificial intelligence concepts. In addition to this, there remains a keen interest among researchers to use model checking to solve planning
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