Bridging Constraint Satisfaction and Boolean Satisfiability
Language: English
Published by Springer International Publishing Aug 2015, 2015
Series: Book 1 of 15 - Artificial Intelligence: Foundations, Theory, and Algorithms
- Hardcover
- New
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
AbeBooks seller since January 11, 2012
Condition: New
£ 46.14
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Add to basketItem description from seller
This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides a significant step towards bridging the areas of Boolean satisfiability and constraint satisfaction by answering the question why SAT-solvers are efficient on certain classes of CSP instances which are hard to solve for standard constraint solvers. The author also gives theoretical reasons for choosing a particular SAT encoding for several important classes of CSP instances.Boolean satisfiability and constraint satisfaction emerged independently as new fields of computer science, and different solving techniques have become standard for problem solving in the two areas. Even though any propositional formula (SAT) can be viewed as an instance of the general constraint satisfaction problem (CSP), the implications of this connection have only been studied in the last few years.The book will be useful for researchers and graduate students in artificial intelligence and theoretical computer science. 128 pp. Englisch.…
Seller Inventory # 9783319218090
- Title
- Bridging Constraint Satisfaction and Boolean Satisfiability
- Author
- Justyna Petke
- Publisher
- Springer International Publishing Aug 2015
- Publication year
- 2015
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 3319218093
- ISBN 13
- 9783319218090
- Item weight
- 366 grams
- Dimensions
- 241x160x13 mm
- Series
- Book 1 of 15: Artificial Intelligence: Foundations, Theory, and Algorithms
This book provides a significant step towards bridging the areas of Boolean satisfiability and constraint satisfaction by answering the question why SAT-solvers are efficient on certain classes of CSP instances which are hard to solve for standard constraint solvers. The author also gives theoretical reasons for choosing a particular SAT encoding for several important classes of CSP instances.
Boolean satisfiability and constraint satisfaction emerged independently as new fields of computer science, and different solving techniques have become standard for problem solving in the two areas. Even though any propositional formula (SAT) can be viewed as an instance of the general constraint satisfaction problem (CSP), the implications of this connection have only been studied in the last few years.
The book will be useful for researchers and graduate students in artificial intelligence and theoretical computer science.
"Synopsis" may belong to another edition of this title.
About the Author
Justyna Petke received her D.Phil. from the University of Oxford. She is a Research Associate at the Centre for Research on Evolution, Search and Testing (CREST) in the Dept. of Computer Science, University College London. Her research interests include the connections between constraint satisfaction and search-based software engineering, including genetic improvement and combinatorial interaction testing.
"About the title" may belong to another edition of this title.
BuchWeltWeit Ludwig Meier e.K.
Bergisch Gladbach, Germany
AbeBooks seller since January 11, 2012
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