Cause Representation

Cause Representation is a formal construct within narrative causality that specifies the structural and semantic encoding of causal relationships between events, agents, or states in a narrative, distinguishing it from general causal models by its focus on the representational mechanisms that articulate how causes are identified, attributed, and conveyed within narrative discourse.

20

Publications

1.1K

Citations

34

Authors

23

Institutions

Publications per year

2017–2026

4

Authors

34

  1. AG
    Alberto Greco

    University of Genoa, Italy

    1 publications · 14 citations

    1

    h-index

  2. LL
    Laura Lakusta

    Montclair State University, United States

    1 publications · 18 citations

    1

    h-index

  3. FE
    Frederick Eberhardt

    California Institute of Technology, United States

    1 publications · 48 citations

    1

    h-index

  4. JH
    James Hutton

    University of Cambridge, United Kingdom

    1 publications · 10 citations

    1

    h-index

  5. KK
    Kamran Kowsari

    University of Virginia, United States

    1 publications · 58 citations

    1

    h-index

1–5 of 34

Venues

  1. Cognitive Science

    2 publications · 50 citations

    2

    h-index

  2. Discourse Processes

    DP · 2 publications · 52 citations

    2

    h-index

  3. Entropy

    1 publications · 14 citations

    1

    h-index

  4. European Journal of Philosophy

    1 publications · 10 citations

    1

    h-index

  5. Theory and Practice of Logic Programming

    1 publications · 21 citations

    1

    h-index

1–5