Soft Constraint Satisfaction

Soft Constraint Satisfaction is a constraint satisfaction framework in which constraints are associated with preference or cost functions, allowing partial or graded satisfaction rather than strict adherence, thereby enabling optimization over trade-offs among competing requirements.

92

Publications

4.9K

Citations

200

Authors

100

Institutions

Publications per year

2017–2026

11

Authors

200

  1. FR
    Francesca Rossi

    University of Padua, Italy

    8 publications · 254 citations

    10

    h-index

  2. SB
    Stefano Bistarelli

    University of Perugia, Italy

    5 publications · 170 citations

    6

    h-index

  3. KB
    Kristen Brent Venable

    University of Padua, Italy

    5 publications · 154 citations

    6

    h-index

  4. JL
    Javier Larrosa

    Universitat Politècnica de Catalunya, Spain

    4 publications · 381 citations

    4

    h-index

  5. TS
    Thomas Schiex

    Centre National de la Recherche Scientifique, France

    3 publications · 281 citations

    4

    h-index

1–5 of 200

Venues

  1. Artificial Intelligence

    4 publications · 360 citations

    4

    h-index

  2. Constraints

    3 publications · 123 citations

    4

    h-index

  3. HAL (Le Centre pour la Communication Scientifique Directe)

    Repository · 3 publications · 242 citations

    3

    h-index

  4. Electronic Notes in Theoretical Computer Science

    ENTCS · 3 publications · 68 citations

    3

    h-index

  5. IEEE Transactions on Cybernetics

    2 publications · 194 citations

    2

    h-index

1–5