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

Authors

104

  1. HC
    Hubie Chen

    Universitat Pompeu Fabra, Spain

    5 publications · 108 citations

    5

    h-index

  2. PN
    Peter Nightingale

    University of St Andrews, United Kingdom

    4 publications · 105 citations

    4

    h-index

  3. SR
    Stefan Ratschan

    Czech Academy of Sciences, Institute of Computer Science, Czechia

    4 publications · 137 citations

    4

    h-index

  4. BM
    Barnaby Martin

    Durham University, United Kingdom

    4 publications · 47 citations

    4

    h-index

  5. FM
    Florent Madelaine

    Durham University, United Kingdom

    3 publications · 37 citations

    3

    h-index

1–5 of 104

Venues

  1. SIAM Journal on Computing

    3 publications · 187 citations

    3

    h-index

  2. 3

    h-index

  3. BIROn (Birkbeck, University of London)

    Repository · 2 publications · 57 citations

    2

    h-index

  4. 2

    h-index

  5. European Journal of Operational Research

    2 publications · 498 citations

    2

    h-index

1–5