Experimental Results on the Crossover Point in Satisfiability Problems
Abstract
Determining whether a propositional theory is satisfiable is a prototypical example of an NPcomplete problem. Further, a large number of problems that occur in knowledge representation, learning, planning, and other areas of AI are essentially satisfiability problems. This paper reports on a series of experiments to determine the location of the crossover point --- the point at which half the randomly generated propositional theories with a given number of variables and given number of clauses are satisfiable --- and to assess the relationship of the crossover point to the difficulty of determining satisfiability. We have found empirically that, for 3-sat, the number of clauses at the crossover point is a linear function of the number of variables. This result is of theoretical interest since it is not clear why such a linear relationship should exist, but it is also of practical interest since recent experiments [ Mitchell et al. 92; Cheeseman et al. 91 ] indicate that the most comput...
Cite
Text
Crawford and Auton. "Experimental Results on the Crossover Point in Satisfiability Problems." AAAI Conference on Artificial Intelligence, 1993.Markdown
[Crawford and Auton. "Experimental Results on the Crossover Point in Satisfiability Problems." AAAI Conference on Artificial Intelligence, 1993.](https://mlanthology.org/aaai/1993/crawford1993aaai-experimental/)BibTeX
@inproceedings{crawford1993aaai-experimental,
title = {{Experimental Results on the Crossover Point in Satisfiability Problems}},
author = {Crawford, James M. and Auton, Larry D.},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {1993},
pages = {21-27},
url = {https://mlanthology.org/aaai/1993/crawford1993aaai-experimental/}
}