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Model Checking and Artificial Intelligence : 6th International Workshop, MoChArt 2010, Atlanta, GA, USA, July 11, 2010, Revised Selected and Invited Papers / edited by Ron van der Meyden, Jan-Georg Smaus.

SpringerLink Books Computer Science (2011-2024) Available online

SpringerLink Books Computer Science (2011-2024)
Format:
Book
Contributor:
van der Meyden, Ron., Editor.
Smaus, Jan-Georg, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 6572
Lecture Notes in Artificial Intelligence, 2945-9141 ; 6572
Language:
English
Subjects (All):
Artificial intelligence.
Computer programming.
Software engineering.
Computer science.
Machine theory.
Artificial Intelligence.
Programming Techniques.
Software Engineering.
Computer Science Logic and Foundations of Programming.
Formal Languages and Automata Theory.
Local Subjects:
Artificial Intelligence.
Programming Techniques.
Software Engineering.
Computer Science Logic and Foundations of Programming.
Formal Languages and Automata Theory.
Physical Description:
1 online resource (XI, 131 pages)
Edition:
1st ed. 2011.
Contained In:
Springer Nature eBook
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011.
System Details:
text file PDF
Summary:
This book presents revised versions of selected papers from the 6th Workshop on Model Checking and Artificial Intelligence, MoChArt 2010, held in Atlanta, GA, USA in July 2010, as well as papers contributed subsequent to the workshop. The 7 papers presented were carefully reviewed and selected for inclusion in this book. In addition, the book also contains an extended abstract of the invited talk held at the workshop. The topics covered by these papers are general search algorithms, application of AI techniques to automated program verification, multiagent systems and epistemic logic, abstraction, epistemic model checking, and theory of model checking.
Other Format:
Printed edition:
ISBN:
978-3-642-20674-0
9783642206740
Access Restriction:
Restricted for use by site license.

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