Generative Behavior

Generative Behavior is a computational or algorithmic process within kinetic installations that dynamically produces evolving spatial, temporal, or interactive outcomes through rule-based, autonomous, or responsive systems, distinguishing itself by its capacity to create non-repetitive, emergent behaviors from initial design parameters or environmental inputs.

32

Publications

3.5K

Citations

107

Authors

50

Institutions

Publications per year

2017–2026

10

Authors

107

  1. PE
    Pavel E. Rueda‐Orozco

    Universidad Nacional Autónoma de México, Mexico

    2 publications · 90 citations

    2

    h-index

  2. PL
    Percy Liang

    Stanford University, United States

    2 publications · 1.6K citations

    2

    h-index

  3. KF
    Karl Friston

    University College London, United Kingdom

    2 publications · 177 citations

    2

    h-index

  4. DR
    David Robbe

    Inserm, France

    2 publications · 90 citations

    2

    h-index

  5. MS
    Michael S. Bernstein

    Stanford University, United States

    2 publications · 1.6K citations

    2

    h-index

1–5 of 107

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 293 citations

    3

    h-index

  2. Journal of Applied Behavior Analysis

    JABA · 2 publications · 171 citations

    2

    h-index

  3. Journal of the Learning Sciences

    1 publications · 56 citations

    1

    h-index

  4. Aging & Mental Health

    1 publications · 21 citations

    1

    h-index

  5. Current Directions in Psychological Science

    1 publications · 29 citations

    1

    h-index

1–5