Instead of following the order of the variables in the quantification sequence, our technique searches for combinations of values for existential variables at ...
Abstract. Thanks to its extended expressiveness, the quantified con- straint satisfaction problem (QCSP) can be used to model problems.
LNCS 4204 - <Literal>BlockSolve</Literal>: A Bottom-Up Approach ...
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Abstract. Thanks to its extended expressiveness, the quantified con- straint satisfaction problem (QCSP) can be used to model problems.
An experimental study shows the good performance of BlockSolve compared to a state of the art QCSP solver. References 6. Citations 12.
Bibliographic details on : A Bottom-Up Approach for Solving Quantified CSPs.
In this paper we propose BlockSolve, an algorithm for solving QCSPs that factorizes computations made in branches of the search tree. Instead of following the ...
Thanks to its extended expressiveness, the quantified constraint satisfaction problem (QCSP) can be used to model problems that are difficult to express in ...
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How do you solve CSPs?
In this paper we report significant contributions to two very different methods for solving QCSPs. The first approach is to implement special purpose algorithms ...
Abstract. We define Realtime Online solving of QCSP to interactively solve Quantified Constraint Satisfaction Problems (QCSPs). We consider.
It is a CSP graph-based approach that is put into practice to reduce the state space of hidden Markov models to improve learning and prediction tasks using HMMs ...