Solution Path Modeling

Solution Path Modeling is a formal methodological framework within problem-solving support that represents and analyzes the sequence of cognitive, procedural, or computational steps taken to derive a solution, distinguishing it from other modeling approaches by its explicit focus on the structured, often iterative, progression of intermediate states and decision points leading to a final outcome.

79

Publications

4.4K

Citations

174

Authors

104

Institutions

Publications per year

2017–2026

23

Authors

174

  1. FH
    Frederick H. Lochovsky

    Hong Kong University of Science and Technology, Hong Kong SAR China

    5 publications · 188 citations

    5

    h-index

  2. SO
    Stellan Ohlsson

    University of Illinois Chicago, United States

    3 publications · 128 citations

    3

    h-index

  3. MY
    Ming Yuan

    Georgia Institute of Technology, United States

    3 publications · 316 citations

    3

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  4. DY
    Dit‐Yan Yeung

    Hong Kong University of Science and Technology, Hong Kong SAR China

    3 publications · 146 citations

    3

    h-index

  5. PL
    Patrick Langley

    Carnegie Mellon University, United States

    2 publications · 54 citations

    2

    h-index

1–5 of 174

Venues

  1. 3

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  2. 3

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  3. arXiv (Cornell University)

    Repository · 2 publications · 39 citations

    2

    h-index

  4. Transportation Research Part B Methodological

    2 publications · 159 citations

    2

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  5. 2

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1–5