In this paper we report significant contributions to two very different methods for solving QCSPs. The first approach is to implement special purpose algorithms ...

It has been shown that a solver based on an encoding of QCSP into QBF can outperform the existing di- rect QCSP approaches by several orders of magni- tude.

Mar 16, 2020 · In this paper, we propose two value selection rules for existentially and universally quantified variables, respectively, to avoid unnecessary searching.

The Quantified Constraint Satisfaction Problem. (QCSP) is a generalisation of the classical CSP in which some of variables can be universally quanti-.

The basic decision task in a CSP is to determine whether there exist values for all variables such that all constraints in the problem are satisfied. It is well ...

Nov 19, 2008 · Abstract. We make a number of contributions to the study of the Quantified Constraint. Satisfaction Problem (QCSP).

Results show that our preprocessing methods can significantly speed up the QCSP solving process, especially on hard instances from the phase transition region.

Constraint-based approaches thus can be employed to formulate a design problem as a CSP. A CSP is a system of constraints where the variables are within certain ...

A constraint satisfaction problem (CSP) is a problem of finding an assignment of values to variables that satisfies constraints. A CSP is described with n ...

In this paper we introduce an efficient QCSP solver. We show how knowledge learned from the successful encoding of QCSP into QBF can be utilized to enhance the ...