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IJCNN
2007
IEEE
15 years 6 months ago
Evolving a Neural Net-Based Decision and Search Heuristic for DPLL SAT Solvers
— Solvers for the Boolean satisfiability problem are an important base technology for many applications. The most efficient SAT solvers for industrial applications are based on...
Raihan H. Kibria
FCS
2006
15 years 1 months ago
Discovering the Impact of Group Structure on 3-SAT
-- Boolean SAT problems are widespread in current demanding applications, most notably model checking for both hardware and software. It has long been known that the clause-to-vari...
James McQuillan, Craig Damon
ICAI
2003
15 years 1 months ago
Threshold Behavior in a Boolean Network Model for SAT
Boolean satisfiability (SAT) is the canonical NP-complete problem that plays an important role in AI and has many practical applications in Computer Science in general. Boolean n...
Alejandro Bugacov, Aram Galstyan, Kristina Lerman
FUIN
2010
93views more  FUIN 2010»
14 years 10 months ago
SAT as a Programming Environment for Linear Algebra
In this paper we present an application of the propositional SATisfiability environment to computing some simple orthogonal matrices and some interesting tasks in the area of cry...
Marian Srebrny, Lidia Stepien
CP
2010
Springer
14 years 10 months ago
Heuristics for Planning with SAT
Generic SAT solvers have been very successful in solving hard combinatorial problems in various application areas, including AI planning. There is potential for improved performanc...
Jussi Rintanen