The concept of consistency has pervaded studies of the con-straint satisfaction problem. We introduce two concepts, which are inspired by consistency, for the more general framework of the quantified constraint satisfaction problem (QCSP). We use these concepts to derive, in a uniform fash-ion, proofs of polynomial-time tractability and correspond-ing algorithms for certain cases of the QCSP where the types of allowed relations are restricted. We not only unify exist-ing tractability results and algorithms, but also identify new classes of tractable QCSPs
AbstractThe quantified constraint satisfaction problem (QCSP) is a framework for modelling PSPACE co...
Building on a result of Larose and Tesson for constraint satisfaction problems (CSPs), we uncover a ...
Abstract. Quantified Constraint Satisfaction Problems (QCSPs) extend classical CSPs by allowing univ...
The concept of consistency has pervaded studies of the constraint satisfaction problem. We introduce...
The constraint satisfaction probem (CSP) is a well-acknowledged framework in which many combinatoria...
The generalization of the constraint satisfaction problem with universal quantifiers is a challengin...
There has been much prior work on understanding the complexity of the constraint satisfaction probl...
Abstract. In this article, we study the quantified constraint satisfaction problem (QCSP) over infin...
Constraint satisfaction is a very well studied and fundamental artificial intelligence technique. Va...
The constraint satisfaction problem (CSP) is a broad framework capturing many combinatorial search ...
The quantified constraint satisfaction problem (QCSP) is a powerful framework for modelling computat...
Constraint satisfaction is a very well studied and fundamental artificial intelligence technique. V...
AbstractWe make a number of contributions to the study of the Quantified Constraint Satisfaction Pro...
International audienceEven though the Constraint Satisfaction Problem (CSP) is NP-complete, many tra...
The constraint satisfaction problem (CSP) is a convenient framework for modelling search problems; t...
AbstractThe quantified constraint satisfaction problem (QCSP) is a framework for modelling PSPACE co...
Building on a result of Larose and Tesson for constraint satisfaction problems (CSPs), we uncover a ...
Abstract. Quantified Constraint Satisfaction Problems (QCSPs) extend classical CSPs by allowing univ...
The concept of consistency has pervaded studies of the constraint satisfaction problem. We introduce...
The constraint satisfaction probem (CSP) is a well-acknowledged framework in which many combinatoria...
The generalization of the constraint satisfaction problem with universal quantifiers is a challengin...
There has been much prior work on understanding the complexity of the constraint satisfaction probl...
Abstract. In this article, we study the quantified constraint satisfaction problem (QCSP) over infin...
Constraint satisfaction is a very well studied and fundamental artificial intelligence technique. Va...
The constraint satisfaction problem (CSP) is a broad framework capturing many combinatorial search ...
The quantified constraint satisfaction problem (QCSP) is a powerful framework for modelling computat...
Constraint satisfaction is a very well studied and fundamental artificial intelligence technique. V...
AbstractWe make a number of contributions to the study of the Quantified Constraint Satisfaction Pro...
International audienceEven though the Constraint Satisfaction Problem (CSP) is NP-complete, many tra...
The constraint satisfaction problem (CSP) is a convenient framework for modelling search problems; t...
AbstractThe quantified constraint satisfaction problem (QCSP) is a framework for modelling PSPACE co...
Building on a result of Larose and Tesson for constraint satisfaction problems (CSPs), we uncover a ...
Abstract. Quantified Constraint Satisfaction Problems (QCSPs) extend classical CSPs by allowing univ...