Causal Plot Structure

Causal Plot Structure is a narrative framework that organizes story events according to cause-and-effect relationships, distinguishing it from non-causal or temporally driven plot structures by emphasizing logical dependencies between narrative elements.

4

Publications

101

Citations

7

Authors

2

Institutions

Publications per year

2017–2026

2

Authors

7

  1. MR
    Mark Riedl

    Georgia Institute of Technology, United States

    2 publications · 63 citations

    2

    h-index

  2. PA
    Prithviraj Ammanabrolu

    Georgia Institute of Technology, United States

    2 publications · 63 citations

    2

    h-index

  3. WC
    Wesley Cheung

    Georgia Institute of Technology, United States

    2 publications · 63 citations

    2

    h-index

  4. WB
    William Broniec

    Georgia Institute of Technology, United States

    2 publications · 63 citations

    2

    h-index

  5. RB
    Robert B. Allen

    Drexel University, United States

    1 publications · 28 citations

    1

    h-index

1–5 of 7

Institutions

2

  1. Georgia Institute of Technology

    Atlanta, United States

    2 h-index

    8 publications

    252 citations

  2. University of Maryland, College Park

    College Park, United States

    1 h-index

    2 publications

    56 citations

  3. University of Pennsylvania

    Philadelphia, United States

    1 publications

    11 citations

1–3 of 2

Venues

  1. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 11 citations

    1

    h-index

  2. Defense Technical Information Center (DTIC)

    Repository · 1 publications · 10 citations

    1

    h-index

  3. Yearbook of Ancient Greek Epic Online

    YAGE · 1 publications · 11 citations

1–3