Dynamic Constraint Satisfaction

Dynamic Constraint Satisfaction is a constraint satisfaction framework that extends static constraint models by incorporating mechanisms to handle constraints and variables that evolve over time, thereby enabling the representation and resolution of problems where problem specifications change dynamically during execution.

97

Publications

4.2K

Citations

215

Authors

118

Institutions

Publications per year

2017–2026

8

Authors

215

  1. QS
    Qiang Shen

    Aberystwyth University, United Kingdom

    4 publications · 67 citations

    4

    h-index

  2. GV
    Gérard Verfaillie

    Office National d'Études et de Recherches Aérospatiales, France

    4 publications · 323 citations

    4

    h-index

  3. TS
    Thomas Schiex

    Centre National de la Recherche Scientifique, France

    4 publications · 406 citations

    4

    h-index

  4. IM
    Ian Miguel

    University of St Andrews, United Kingdom

    3 publications · 53 citations

    3

    h-index

  5. FS
    François Soumis

    Polytechnique Montréal, Canada

    3 publications · 85 citations

    3

    h-index

1–5 of 215

Venues

  1. Journal of Artificial Intelligence Research

    JAIR · 3 publications · 69 citations

    3

    h-index

  2. Constraints

    3 publications · 203 citations

    3

    h-index

  3. 3

    h-index

  4. 2

    h-index

  5. AI Communications

    AICOM · 2 publications · 36 citations

    2

    h-index

1–5