Event Change Representation

Event Change Representation is a formal methodological construct within event representation that specifically captures and models the temporal and causal transformations between initial, intermediate, and final states of events, distinguishing it from static event representations by its focus on dynamic state transitions.

10

Publications

532

Citations

15

Authors

13

Institutions

Publications per year

2017–2026

3

Authors

15

  1. GC
    Gary C. Borchardt

    Massachusetts Institute of Technology, United States

    2 publications · 35 citations

    2

    h-index

  2. ZE
    Zachary Ekves

    Institute of Cognitive and Brain Sciences, United States

    1 publications · 75 citations

    1

    h-index

  3. NO
    Nadim Obeid

    University of Jordan, Jordan

    1 publications · 28 citations

    1

    h-index

  4. MM
    Mary M. Hermann

    University of North Carolina at Greensboro, United States

    1 publications · 16 citations

    1

    h-index

  5. RK
    Robert Kaiser

    California Institute of Technology, United States

    1 publications · 26 citations

    1

    h-index

1–5 of 15

Venues

  1. Memory & Cognition

    1 publications · 16 citations

    1

    h-index

  2. Journal of Development Effectiveness

    1 publications · 51 citations

    1

    h-index

  3. Applied Intelligence

    1 publications · 28 citations

    1

    h-index

  4. DSpace@MIT (Massachusetts Institute of Technology)

    Repository · 1 publications · 17 citations

    1

    h-index

  5. Psychological Review

    1 publications · 75 citations

    1

    h-index

1–5