The quantified constraint satisfaction problem (QCSP) is a natural and useful generalization of the constraint satisfaction problem (CSP) in which both universal and existential quantification of variables is permitted. Because the CSP and QCSP are in general intractable, much effort has been directed towards identifying restricted cases of these problems that are tractable in polynomial time. In this paper, we investigate restricted cases of the QCSP having 2-semilattice polymorphisms. We prove a complete classification of 2-semilattice polymorphisms, demonstrating that each gives rise to a case of the QCSP that is either tractable in polynomial time, or coNP-hard
Abstract. Quantified constraint satisfaction is the generalization of con-straint satisfaction that ...
We study the complexity of two-person constraint satisfaction games. An instance of such a game is g...
We study two containment problems related to the quantified constraint satisfaction problem (QCSP). ...
The constraint satisfaction problem (CSP) is a convenient framework for modelling search problems; t...
There has been much prior work on understanding the complexity of the constraint satisfaction probl...
The quantified constraint satisfaction problem (QCSP) is a powerful framework for modelling computat...
The concept of consistency has pervaded studies of the constraint satisfaction problem. We introduce...
The standard constraint satisfaction problem over an arbitrary finite domain can be expressed as fol...
The constraint satisfaction probem (CSP) is a well-acknowledged framework in which many combinatoria...
AbstractThe quantified constraint satisfaction problem (QCSP) is a framework for modelling PSPACE co...
The constraint satisfaction problem (CSP) is a broad framework capturing many combinatorial search ...
The concept of consistency has pervaded studies of the con-straint satisfaction problem. We introduc...
We study the (non-uniform) quantified constraint satisfaction problem QCSP(H) as H ranges over semi...
Building on a result of Larose and Tesson for constraint satisfaction problems (CSPs), we uncover a ...
We study the (non-uniform) quantified constraint satisfaction problem QCSP(H) as H ranges over semic...
Abstract. Quantified constraint satisfaction is the generalization of con-straint satisfaction that ...
We study the complexity of two-person constraint satisfaction games. An instance of such a game is g...
We study two containment problems related to the quantified constraint satisfaction problem (QCSP). ...
The constraint satisfaction problem (CSP) is a convenient framework for modelling search problems; t...
There has been much prior work on understanding the complexity of the constraint satisfaction probl...
The quantified constraint satisfaction problem (QCSP) is a powerful framework for modelling computat...
The concept of consistency has pervaded studies of the constraint satisfaction problem. We introduce...
The standard constraint satisfaction problem over an arbitrary finite domain can be expressed as fol...
The constraint satisfaction probem (CSP) is a well-acknowledged framework in which many combinatoria...
AbstractThe quantified constraint satisfaction problem (QCSP) is a framework for modelling PSPACE co...
The constraint satisfaction problem (CSP) is a broad framework capturing many combinatorial search ...
The concept of consistency has pervaded studies of the con-straint satisfaction problem. We introduc...
We study the (non-uniform) quantified constraint satisfaction problem QCSP(H) as H ranges over semi...
Building on a result of Larose and Tesson for constraint satisfaction problems (CSPs), we uncover a ...
We study the (non-uniform) quantified constraint satisfaction problem QCSP(H) as H ranges over semic...
Abstract. Quantified constraint satisfaction is the generalization of con-straint satisfaction that ...
We study the complexity of two-person constraint satisfaction games. An instance of such a game is g...
We study two containment problems related to the quantified constraint satisfaction problem (QCSP). ...