Constraint Satisfaction Modeling

Constraint Satisfaction Modeling is a computational modeling approach that belongs to the class of constraint-based methods, differing from its siblings by explicitly representing domain knowledge as a set of constraints whose simultaneous satisfaction determines valid solutions within a defined problem space.

456

Publications

24.8K

Citations

988

Authors

402

Institutions

Publications per year

2017–2026

51

Authors

988

  1. DS
    Dan Simon

    University of Southern California, United States

    10 publications · 1.3K citations

    10

    h-index

  2. EC
    Eugene C. Freuder

    University of New Hampshire, United States

    11 publications · 438 citations

    10

    h-index

  3. RB
    Roman Barták

    Charles University, Czechia

    11 publications · 481 citations

    10

    h-index

  4. IM
    Ian Miguel

    University of St Andrews, United Kingdom

    8 publications · 278 citations

    8

    h-index

  5. KJ
    Keith J. Holyoak

    University of California, Los Angeles, United States

    7 publications · 1.3K citations

    7

    h-index

1–5 of 988

Venues

  1. Artificial Intelligence

    18 publications · 2.7K citations

    17

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 9 publications · 402 citations

    9

    h-index

  3. Journal of Artificial Intelligence Research

    JAIR · 8 publications · 518 citations

    8

    h-index

  4. Constraints

    8 publications · 351 citations

    7

    h-index

  5. Cognitive Science

    6 publications · 672 citations

    6

    h-index

1–5