TL;DR
This paper introduces a framework for compiling quantified constraint satisfaction problems (QCSP), providing a formal semantics, an algorithm for compilation into search, and demonstrating the optimality of this approach.
Contribution
It presents a novel compilation framework for QCSP with a formal semantics and an optimality proof, advancing the understanding of QCSP solving methods.
Findings
Established a formal semantics for QCSP compilation.
Developed an algorithm for embedding QCSP into search algorithms.
Proved the optimality of the compiled QCSP interpretation.
Abstract
We propose in this article a framework for compilation of quantified constraint satisfaction problems (QCSP). We establish the semantics of this formalism by an interpretation to a QCSP. We specify an algorithm to compile a QCSP embedded into a search algorithm and based on the inductive semantics of QCSP. We introduce an optimality property and demonstrate the optimality of the interpretation of the compiled QCSP.
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Taxonomy
TopicsConstraint Satisfaction and Optimization · Data Management and Algorithms · Advanced Database Systems and Queries