Dual viewpoint heuristics for binary constraint satisfaction problems
ECAI '92 Proceedings of the 10th European conference on Artificial intelligence
CP '02 Proceedings of the 6th International Conference on Principles and Practice of Constraint Programming
Where the really hard problems are
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 1
Balance and filtering in structured satisfiable problems
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Optimal and suboptimal singleton arc consistency algorithms
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
A greedy approach to establish singleton arc consistency
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
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The efficiency of complete solvers depends both on constraint propagation to narrow the domains and some form of complete search. Whereas constraint propagators should achieve a good trade-off between their complexity and the pruning that is obtained, search heuristics take decisions based on information about the state of the problem being solved. In general, these two components are independent and are indeed considered separately. A recent family of algorithms have been proposed to achieve a strong form of consistency called Singleton Consistency (SC). These algorithms perform a limited amount of search and propagation (lookahead) to remove inconsistent values from the variables domains, making SC costly to maintain. This paper follows from the observation that search states being explored while enforcing SC are an important source of information about the future search space which is being ignored. In this paper we discuss the integration of this look-ahead information into variable and value selection heuristics, and show that significant speedups are obtained in a number of standard benchmark problems.