Generative Performance

Generative Performance is a mode of digital artistic practice within the field of Digital Performance that employs algorithmic, rule-based, or autonomous systems to produce dynamic, evolving performances where the indeterminate interplay between human and computational agency constitutes its defining characteristic.

22

Publications

1.1K

Citations

55

Authors

23

Institutions

Publications per year

2017–2026

12

Authors

55

  1. CX
    Chang Xu

    The University of Sydney, Australia

    2 publications · 372 citations

    2

    h-index

  2. AM
    Allison M. Rossetto

    University of Massachusetts Lowell, United States

    2 publications · 28 citations

    2

    h-index

  3. WZ
    Wenjin Zhou

    Wenzhou Medical University, China

    2 publications · 28 citations

    2

    h-index

  4. XY
    Xin Yao

    University of Birmingham, United Kingdom

    2 publications · 372 citations

    2

    h-index

  5. CW
    Chaoyue Wang

    The University of Sydney, Australia

    2 publications · 372 citations

    2

    h-index

1–5 of 55

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 104 citations

    4

    h-index

  2. IEEE Transactions on Evolutionary Computation

    2 publications · 406 citations

    2

    h-index

  3. Contemporary Music Review

    2 publications · 139 citations

    2

    h-index

  4. 1

    h-index

  5. Journal of Ancient Near Eastern Religions

    1 publications · 19 citations

    1

    h-index

1–5