Constraint-based Knowledge Representation

Constraint-Based Knowledge Representation is a knowledge representation model that uses a set of constraints to define the correct and incorrect states or behaviors within a problem-solving domain, distinguishing it from other models by its reliance on constraint violation detection to guide learning and feedback in intelligent tutoring systems.

137

Publications

5.3K

Citations

307

Authors

124

Institutions

Publications per year

2017–2026

16

Authors

307

  1. AM
    Antonija Mitrović

    University of Canterbury, New Zealand

    19 publications · 1.1K citations

    15

    h-index

  2. BM
    Brent Martin

    University of Canterbury, New Zealand

    9 publications · 383 citations

    9

    h-index

  3. PS
    Pramuditha Suraweera

    University of Canterbury, New Zealand

    7 publications · 297 citations

    7

    h-index

  4. SO
    Stellan Ohlsson

    University of Illinois Chicago, United States

    6 publications · 419 citations

    6

    h-index

  5. CB
    Christian Bessière

    Centre National de la Recherche Scientifique, France

    3 publications · 117 citations

    3

    h-index

1–5 of 307

Venues

  1. 7

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  2. 6

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  3. 3

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  4. arXiv (Cornell University)

    Repository · 3 publications · 71 citations

    3

    h-index

  5. Artificial Intelligence

    3 publications · 102 citations

    3

    h-index

1–5