Constraint-based Decision Making

Constraint-Based Decision Making is a decision-making framework that systematically identifies, models, and applies constraints to delimit feasible solutions, thereby guiding choices toward optimal or acceptable outcomes within predefined boundary conditions.

44

Publications

2.6K

Citations

94

Authors

66

Institutions

Publications per year

2017–2026

2

Authors

94

  1. AG
    Andreas Glöckner

    Max Planck Institute for Behavioral Economics, Germany

    2 publications · 48 citations

    2

    h-index

  2. KJ
    Keith J. Holyoak

    University of California, Los Angeles, United States

    2 publications · 453 citations

    2

    h-index

  3. ÉF
    Élisa Fromont

    Centre National de la Recherche Scientifique, France

    2 publications · 119 citations

    2

    h-index

  4. BF
    Boi Faltings

    École Polytechnique Fédérale de Lausanne, Switzerland

    2 publications · 67 citations

    2

    h-index

  5. SN
    Siegfried Nijssen

    KU Leuven, Belgium

    2 publications · 119 citations

    2

    h-index

1–5 of 94

Venues

  1. Journal of Experimental Psychology General

    2 publications · 453 citations

    2

    h-index

  2. International Joint Conference on Artificial Intelligence

    Conference · 2 publications · 49 citations

    2

    h-index

  3. Decision Support Systems

    2 publications · 28 citations

    2

    h-index

  4. International Journal of Production Research

    2 publications · 108 citations

    2

    h-index

  5. SSRN Electronic Journal

    Repository · 1 publications · 10 citations

    1

    h-index

1–5