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AAAI
1996
13 years 5 months ago
A Complexity Analysis of Space-Bounded Learning Algorithms for the Constraint Satisfaction Problem
Learning during backtrack search is a space-intensive process that records information (such as additional constraints) in order to avoid redundant work. In this paper, we analyze...
Roberto J. Bayardo Jr., Daniel P. Miranker
JACM
2010
116views more  JACM 2010»
13 years 2 months ago
The complexity of temporal constraint satisfaction problems
A temporal constraint language is a set of relations that has a first-order definition in (Q, <), the dense linear order of the rational numbers. We present a complete comple...
Manuel Bodirsky, Jan Kára
ECML
2005
Springer
13 years 10 months ago
A SAT-Based Version Space Algorithm for Acquiring Constraint Satisfaction Problems
Constraint programming is rapidly becoming the technology of choice for modelling and solving complex combinatorial problems. However, users of this technology need significant ex...
Christian Bessière, Remi Coletta, Fré...
FOCS
1999
IEEE
13 years 8 months ago
A Probabilistic Algorithm for k-SAT and Constraint Satisfaction Problems
We present a simple probabilistic algorithm for solving kSAT, and more generally, for solving constraint satisfaction problems (CSP). The algorithm follows a simple localsearch pa...
Uwe Schöning
ECAI
2004
Springer
13 years 9 months ago
Improving Asynchronous Backtracking for Dealing with Complex Local Problems
Distributed constraint satisfaction, in its most general acceptation, involves a collection of agents solving local constraint satisfaction subproblems, and a communication protoco...
Arnold Maestre, Christian Bessière