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Bridging constraint satisfaction and...

Petke, Justyna.

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Bridging constraint satisfaction and Boolean satisfiability

Record Type:	Electronic resources : Monograph/item
Title/Author:	Bridging constraint satisfaction and Boolean satisfiability/ by Justyna Petke.
Author:	Petke, Justyna.
Published:	Cham :Springer International Publishing : : 2015.,
Description:	xi, 113 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- Background -- Solver Performance on Tractable CSPs: Empirical Evaluation -- SAT Encodings -- From CSP to SAT: Width Restrictions -- From CSP to SAT: Language Restrictions -- SAT Encodings of a Classical Problem: A Case Study -- Conclusions.
Contained By:	Springer eBooks
Subject:	Constraints (Artificial intelligence) -
Online resource:	http://dx.doi.org/10.1007/978-3-319-21810-6
ISBN:	9783319218106

Bridging constraint satisfaction and Boolean satisfiability
Petke, Justyna.

Bridging constraint satisfaction and Boolean satisfiability[electronic resource] /by Justyna Petke. - Cham :Springer International Publishing :2015. - xi, 113 p. :ill., digital ;24 cm. - Artificial intelligence: foundations, theory, and algorithms,2365-3051. - Artificial intelligence: foundations, theory, and algorithms..

Introduction -- Background -- Solver Performance on Tractable CSPs: Empirical Evaluation -- SAT Encodings -- From CSP to SAT: Width Restrictions -- From CSP to SAT: Language Restrictions -- SAT Encodings of a Classical Problem: A Case Study -- Conclusions.

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.

ISBN: 9783319218106

Standard No.: 10.1007/978-3-319-21810-6doiSubjects--Topical Terms:

904844
Constraints (Artificial intelligence)

LC Class. No.: QA267.7

Dewey Class. No.: 511.3

Bridging constraint satisfaction and Boolean satisfiability
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100 1 $a Petke, Justyna. $3 2160110
245 1 0 $a Bridging constraint satisfaction and Boolean satisfiability $h [electronic resource] / $c by Justyna Petke.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a xi, 113 p. : $b ill., digital ; $c 24 cm.
490 1 $a Artificial intelligence: foundations, theory, and algorithms, $x 2365-3051
505 0 $a Introduction -- Background -- Solver Performance on Tractable CSPs: Empirical Evaluation -- SAT Encodings -- From CSP to SAT: Width Restrictions -- From CSP to SAT: Language Restrictions -- SAT Encodings of a Classical Problem: A Case Study -- Conclusions.
520 $a 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.
650 0 $a Constraints (Artificial intelligence) $3 904844
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650 1 4 $a Computer Science. $3 626642
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 890894
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830 0 $a Artificial intelligence: foundations, theory, and algorithms. $3 2160111
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950 $a Computer Science (Springer-11645)