Quantified Constraint Satisfaction
Quantified Constraint Satisfaction is a formal framework within the broader class of constraint satisfaction problems that extends classical constraint models by incorporating quantifiers over variables, thereby enabling the expression of dependencies and adversarial or strategic reasoning in a logical structure.
55
Publications
2.1K
Citations
104
Authors
72
Institutions
Publications per year
2017–2026
6
Variants
Qcs
Parents
55
Tractability and Learnability Arising from Algebras with Few Subpowers
Paweł M. Idziak, Petar Marković, Ralph McKenzie et al. · SIAM Journal on Computing · 2010 · 128 citations · Full text
1–5 of 55
104
5
h-index
4
h-index
Czech Academy of Sciences, Institute of Computer Science, Czechia
4 publications · 137 citations
4
h-index
4
h-index
3
h-index
1–5 of 104
72

University of St Andrews
St Andrews, United Kingdom
4 h-index
9 publications
248 citations
Arts et Métiers
Paris, France
3 h-index
8 publications
311 citations

Universitat Pompeu Fabra
Barcelona, Spain
3 h-index
3 publications
72 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
3 publications
44 citations
Microsoft (United States)
Redmond, United States
3 h-index
4 publications
74 citations

Cornell University
Ithaca, United States
3 h-index
3 publications
73 citations

Durham University
Durham, United Kingdom
3 h-index
3 publications
36 citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
2 h-index
2 publications
55 citations
1–8 of 72
3 publications · 187 citations
3
h-index
3 publications · 98 citations
3
h-index
Repository · 2 publications · 57 citations
2
h-index
2 publications · 38 citations
2
h-index
2 publications · 498 citations
2
h-index
1–5