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Implicates and Prime Implicates in Random 3SAT (1995)  (Make Corrections)  (15 citations)
Robert Schrag, James M. Crawford
Artificial Intelligence



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Abstract: It has been observed previously that Random 3SAT exhibits a phase transition at a critical ratio of constraints to variables, where the average frequency of satisfiability falls abruptly from near 1 to near 0. In this paper we look beyond satisfiability to implicates and prime implicates of non-zero length and show experimentally that, for any given length, these exhibit their own phase transitions. All of these phase transitions appear to share the same critical point as the well-known... (Update)

Context of citations to this paper:   More

.... exact compilation it has been observed that the compiled knowledge base often occupies space exponential in the size of the initial source [19]. This undesirable effect has lead several researchers to explore the possibility of compiling the knowledge base into a family of...

.... Another area of research is to use the results obtained for SAT algorithms on related domains: computation of implicant cover[SC96] prime implicants implicates [CC96] Quantified Boolean Formulas[CGS98, Rin99] DISTANCE SAT[BM99] etc. Our work follows this idea: we...

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BibTeX entry:   (Update)

R. Schrag and J. Crawford. Implicates and prime implicates in random 3SAT. Artificial Intelligence Journal, 81:199--222, 1996. http://citeseer.ist.psu.edu/article/schrag95implicate.html   More

@article{ schrag96implicates,
    author = "Robert Schrag and James M. Crawford",
    title = "Implicates and Prime Implicates in Random 3-{SAT}",
    journal = "Artificial Intelligence",
    volume = "81",
    number = "1-2",
    pages = "199-222",
    year = "1996",
    url = "citeseer.ist.psu.edu/article/schrag95implicate.html" }
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320   Hard and easy distributions of SAT problems - David, Bart et al. - 1992  DBLP
211   Enhancement schemes for constraint processing: Backjumping (context) - Rina - 1990
186   Constraint satisfaction (context) - Alan - 1992  ACM
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132   An assumption-based TMS (context) - Johan - 1987  ACM   DBLP
107   Foundations of assumption-based truth maintenance systems: P.. (context) - Raymond, Johan - 1987  DBLP
97   Knowledge compilation using Horn approximations - Bart, Henry - 1991  DBLP
81   Critical behavior in the satisfiability of random Boolean ex.. - Bart, Scott - 1996
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72   Many hard examples for resolution (context) - Vasek, Endre - 1988  ACM   DBLP
66   Search through systematic set enumeration (context) - Ron - 1992  DBLP
62   The hardest constraint problems: A double phase transition (context) - Tad, Colin - 1994
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27   The satisfiability constraint gap - Ian, Toby - 1996  DBLP
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19   The hardest random SAT problems - Ian, Walsh - 1994  ACM   DBLP
17   the number of prime implicants (context) - Ashok, George - 1978
15   An improved incremental algorithm for generating prime impli.. (context) - Johan - 1992  DBLP
10   Generalization of consensus theory and application to the mi.. (context) - Pierre - 1967
10   An empirical evaluation of knowledge compilation by theory a.. (context) - Henry, Bart - 1994  ACM   DBLP
6   Exploiting the deep structure of constraint satisfaction pro.. (context) - Colin, Tad - 1994



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Hard and Easy Distributions of SAT Problems - Mitchell, Selman, Levesque (1992)   (Correct)
A New Method for Solving Hard Satisfiability Problems - Selman, Levesque, Mitchell (1992)   (Correct)
Some Pitfalls for Experimenters with Random SAT - Mitchell, Levesque (1996)   (Correct)

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