A Sufficient Condition for Backtrack-Free Search
Journal of the ACM (JACM)
Constraint Processing
Many hard examples in exact phase transitions
Theoretical Computer Science
Random constraint satisfaction: Easy generation of hard (satisfiable) instances
Artificial Intelligence
Exact phase transitions in random constraint satisfaction problems
Journal of Artificial Intelligence Research
Consistency and random constraint satisfaction models
Journal of Artificial Intelligence Research
Where the really hard problems are
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 1
Constraint Networks: Techniques and Algorithms
Constraint Networks: Techniques and Algorithms
On the phase transitions of random k-constraint satisfaction problems
Artificial Intelligence
Local search with edge weighting and configuration checking heuristics for minimum vertex cover
Artificial Intelligence
Large hinge width on sparse random hypergraphs
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume One
Logic and AI in China: An Introduction
Minds and Machines
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Model RB is a model of random constraint satisfaction problems, which exhibits exact satisfiability phase transition and many hard instances, both experimentally and theoretically. Benchmarks based on Model RB have been successfully used by various international algorithm competitions and many research papers. In a previous work, Xu and Li defined two notions called i-constraint assignment tuple and flawed i-constraint assignment tuple to show an exponential resolution complexity of Model RB. These two notions are similar to some kind of consistency in constraint satisfaction problems, but seem different from all kinds of consistency so far known in literatures. In this paper, we explicitly define this kind of consistency, called variable-centered consistency, and show an upper bound on a parameter in Model RB, such that up to this bound the typical instances of Model RB are variable-centered consistent.