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» CSP(M): Constraint Satisfaction Problem over Models
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ICTAI
2008
IEEE
15 years 3 months ago
Probabilistic Continuous Constraint Satisfaction Problems
Constraint programming has been used in many applications where uncertainty arises to model safe reasoning. The goal of constraint propagation is to propagate intervals of uncerta...
Elsa Carvalho, Jorge Cruz, Pedro Barahona
AIMSA
2004
Springer
15 years 2 months ago
Exploiting the Constrainedness in Constraint Satisfaction Problems
Nowadays, many real problem in Artificial Intelligence can be modeled as constraint satisfaction problems (CSPs). A general rule in constraint satisfaction is to tackle the hardes...
Miguel A. Salido, Federico Barber
AAAI
1998
14 years 10 months ago
Extending GENET to Solve Fuzzy Constraint Satisfaction Problems
Despite much research that has been done on constraint satisfaction problems (CSP's), the framework is sometimes inflexible and the results are not very satisfactory when app...
Jason H. Y. Wong, Ho-Fung Leung
119
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CSCLP
2008
Springer
14 years 11 months ago
From Rules to Constraint Programs with the Rules2CP Modelling Language
In this paper, we present a rule-based modelling language for constraint programming, called Rules2CP. Unlike other modelling languages, Rules2CP adopts a single knowledge represen...
François Fages, Julien Martin
JUCS
2007
118views more  JUCS 2007»
14 years 9 months ago
Satisfying Assignments of Random Boolean Constraint Satisfaction Problems: Clusters and Overlaps
: The distribution of overlaps of solutions of a random constraint satisfaction problem (CSP) is an indicator of the overall geometry of its solution space. For random k-SAT, nonri...
Gabriel Istrate