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» Propagation in CSP and SAT
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164
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SAT
2011
Springer
263views Hardware» more  SAT 2011»
14 years 2 months ago
Failed Literal Detection for QBF
Failed literal detection (FL) in SAT is a powerful approach for preprocessing. The basic idea is to assign a variable as assumption. If boolean constraint propagation (BCP) yields ...
Florian Lonsing, Armin Biere
JACM
2007
79views more  JACM 2007»
14 years 11 months ago
A new look at survey propagation and its generalizations
This article provides a new conceptual perspective on survey propagation, which is an iterative algorithm recently introduced by the statistical physics community that is very effe...
Elitza N. Maneva, Elchanan Mossel, Martin J. Wainw...
89
Voted
CP
2005
Springer
15 years 5 months ago
Search and Inference in AI Planning
While Planning has been a key area in Artificial Intelligence since its beginnings, significant changes have occurred in the last decade as a result of new ideas and a more estab...
Hector Geffner
91
Voted
ESA
2006
Springer
113views Algorithms» more  ESA 2006»
15 years 3 months ago
An LP-Designed Algorithm for Constraint Satisfaction
The class Max (r, 2)-CSP consists of constraint satisfaction problems with at most two r-valued variables per clause. For instances with n variables and m binary clauses, we presen...
Alexander D. Scott, Gregory B. Sorkin
90
Voted
JAIR
2008
120views more  JAIR 2008»
14 years 11 months ago
MiniMaxSAT: An Efficient Weighted Max-SAT solver
In this paper we introduce MINIMAXSAT, a new Max-SAT solver that is built on top of MINISAT+. It incorporates the best current SAT and Max-SAT techniques. It can handle hard claus...
Federico Heras, Javier Larrosa, Albert Oliveras