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
Parents
22
Evolutionary Generative Adversarial Networks
Chaoyue Wang, Chang Xu, Xin Yao et al. · IEEE Transactions on Evolutionary Computation · 2019 · 353 citations
Generative Music and Laptop Performance
Nick Collins · Contemporary Music Review · 2003 · 84 citations · Full text
Interacting with Generative Music through Live Coding
Andrew R. Brown, Andrew Sorensen · Contemporary Music Review · 2009 · 55 citations · Full text
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University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
3 publications
134 citations
University of Massachusetts Lowell
Lowell, United States
2 h-index
4 publications
56 citations
Massachusetts Institute of Technology
Cambridge, United States
1 h-index
1 publications
76 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
1 h-index
1 publications
41 citations
Rochester Institute of Technology
Rochester, United States
1 h-index
1 publications
16 citations
Seoul National University
Seoul, South Korea
1 h-index
6 publications
552 citations
Indiana University Bloomington
Bloomington, United States
1 h-index
4 publications
148 citations
Interaction Design (United Kingdom)
London, United Kingdom
1 h-index
2 publications
110 citations
1–8 of 23
Repository · 4 publications · 104 citations
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2 publications · 406 citations
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2 publications · 139 citations
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1 publications · 41 citations
1
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1 publications · 19 citations
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