2016International Joint Conference on Artificial IntelligenceRequires access

Modelling satisfiability problems theory and practice

Valentin Mayer-Eichberger

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Abstract

Boolean Satisfiability (SAT) solvers are a mature technology to solve hard combinatorial problems. The input to a SAT solver is the problem translated to propositional logic in conjunctive normal form (CNF). This thesis studies such translations and aims to make SAT solvers more accessible to non-encoding experts.

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Boolean Satisfiability (SAT) solvers are a mature technology to solve hard combinatorial problems. The input to a SAT solver is the problem translated to propositional logic in conjunctive normal form (CNF). This thesis studies such translations and aims to make SAT solvers more accessible to non-encoding experts.

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Available abstract

Boolean Satisfiability (SAT) solvers are a mature technology to solve hard combinatorial problems. The input to a SAT solver is the problem translated to propositional logic in conjunctive normal form (CNF). This thesis studies such translations and aims to make SAT solvers more accessible to non-encoding experts.

Key concepts: Conjunctive normal form, Satisfiability, Boolean satisfiability problem, Maximum satisfiability problem, Computer science, Propositional calculus, DPLL algorithm, Propositional formula

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