Generative Scores
Generative Scores is a methodological framework within instruction-based art that systematizes the transformation of artistic instructions into dynamic, rule-governed procedural outputs through algorithmic interpretation and generative variation.
6
Publications
148
Citations
18
Authors
6
Institutions
Publications per year
2017–2026
2
Parents
6
Modality, Individuation, and the Ontology of Art
Carl Matheson, Ben Caplan · Canadian Journal of Philosophy · 2008 · 20 citations
The Making and Breaking of Camouflage
Hala Lamdouar, Weidi Xie, Andrew Zisserman · 2023 · 20 citations
1–5 of 6
18
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1–5 of 18
6
The Ohio State University
Columbus, United States
1 h-index
1 publications
20 citations

University of Manitoba
Winnipeg, Canada
1 h-index
1 publications
20 citations
Upsher-Smith Laboratories (United States)
Maple Grove, United States
1 h-index
1 publications
17 citations
Snap (United States)
Los Angeles, United States
1 h-index
2 publications
100 citations
Carnegie Mellon University
Pittsburgh, United States
1 h-index
1 publications
50 citations

University of Minnesota
Minneapolis, United States
1 h-index
7 publications
119 citations
University of Oxford
Oxford, United Kingdom
1 publications
20 citations

Shanghai Jiao Tong University
Shanghai, China
1 publications
20 citations
1–8 of 6
BJCP · 1 publications · 17 citations
1
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CJP · 1 publications · 20 citations
1
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1 publications · 12 citations
1
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Repository · 1 publications · 27 citations
1
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1 publications · 22 citations
1
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1–5