Abstract
Although it is believed that there is no efficient algorithm for the decidability of satisfiability in propositional logic, many algorithms are efficient in practice. This is particularly true when a formula is satisfiable; for example, when you build a truth table for an unsatisfiable formula of size n you will have to generate all 2n rows, but if the formula is satisfiable you might get lucky and find a model after generating only a few rows. Even an incomplete algorithm—one that can find a model if one exists but may not be able to detect if a formula is unsatisfiable—can be useful in practice.
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References
A. Biere, M. Heule, H. Van Maaren, and T. Walsh, editors. Handbook of Satisfiability, volume 185 of Frontiers in Artificial Intelligence and Applications. IOS Press, 2009.
M. Davis and H. Putnam. A computing procedure for quantification theory. Journal of the ACM, 7:201–215, 1960.
M. Davis, G. Logemann, and D. Loveland. A machine program for theorem-proving. Communications of the ACM, 5:394–397, 1962.
G. Gopalakrishnan. Computational Engineering: Applied Automata Theory and Logic. Springer, 2006.
J.E. Hopcroft, R. Motwani, and J.D. Ullman. Introduction to Automata Theory, Languages and Computation (Third Edition). Addison-Wesley, 2006.
S. Malik and L. Zhang. Boolean satisfiability: From theoretical hardness to practical success. Communications of the ACM, 52(8):76–82, 2009.
B.A. Nadel. Representation selection for constraint satisfaction: A case study using n-queens. IEEE Expert: Intelligent Systems and Their Applications, 5:16–23, June 1990.
M. Sipser. Introduction to the Theory of Computation (Second Edition). Course Technology, 2005.
L. Zhang. Searching for truth: Techniques for satisfiability of Boolean formulas. PhD thesis, Princeton University, 2003. http://research.microsoft.com/en-us/people/lintaoz/thesis_lintao_zhang.pdf .
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Ben-Ari, M. (2012). Propositional Logic: SAT Solvers. In: Mathematical Logic for Computer Science. Springer, London. https://doi.org/10.1007/978-1-4471-4129-7_6
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DOI: https://doi.org/10.1007/978-1-4471-4129-7_6
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