Titlebook: Bridging Constraint Satisfaction and Boolean Satisfiability; Justyna Petke Book 2015 Springer International Publishing Switzerland 2015 Bo

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Zusammenfassung und Hypothesenbildungopositional clauses is produced, SAT-solvers sometimes outperform conventional CSP-solvers on such instances (see Chapter?.). Furthermore, SAT-solvers often perform well even on instances that were encoded using the most naive encoding (called the direct encoding, see below).

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Grundlagen offener Rechnernetze,t least one pigeonhole must contain more than one item. Surprisingly enough the most basic SAT encoding of the principle is not solved efficiently by SAT-solvers. One reason is that this encoding has a resolution proof of exponential size.

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https://doi.org/10.1007/978-3-322-81173-8concept gets defined that is an umbrella for a well-known set of things. It seems that the story of . and . follows these two paths. These two areas of knowledge developed separately. However, the Boolean satisfiability problem (SAT) can be viewed as a subset of the general constraint satisfaction p

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https://doi.org/10.1007/978-3-322-81173-8century. Boolean satisfiability has its roots in logic. In fact, any propositional logic formula is an instance of the . (SAT). That’s why the terms . or simply just . are also commonly used. Constraint satisfaction, on the other hand, belongs to the field of artificial intelligence. It covers a ver

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,Beschaffung verkaufsf?higer Produkte, constraint problems. Building on the results of?[ABD07, AD08], and?[HM05], we show that the power of using .-consistency techniques in a constraint problem is precisely captured by using a single inference rule in a standard Boolean encoding of that problem. We refer to this inference rule as ., an

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,Beschaffung von Investitionsgütern,and even won in a few categories. Surprisingly, it outperformed standard constraint solvers on many instances involving global constraints, which are supposed to be a particular strength of CSP-solvers.