Artificial Intelligence Performance
Artificial Intelligence Performance is a scholarly contribution that represents a novel method, model, framework, theory, construct, dataset, task, or metric specifically designed to advance the capacity of artificial systems to generate, simulate, or execute human-like cognitive or creative behaviors within the domain of generative performance.
244
Publications
16.1K
Citations
760
Authors
399
Institutions
Publications per year
2017–2026
195
Parents
244
David P. Anderson, Jeff Cobb, Eric Korpela et al. · Communications of the ACM · 2002 · 1.3K citations
Fabrizio Dell’Acqua, Edward McFowland, Ethan Mollick et al. · SSRN Electronic Journal · 2023 · 702 citations · Full text
1–5 of 244
760
9
h-index
5
h-index
3
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3
h-index
3
h-index
1–5 of 760
399
Universitat Politècnica de València
Valencia, Spain
7 h-index
11 publications
535 citations
Carnegie Mellon University
Pittsburgh, United States
7 h-index
14 publications
668 citations
University of Pennsylvania
Philadelphia, United States
5 h-index
3 publications
1.3K citations
Massachusetts Institute of Technology
Cambridge, United States
4 h-index
1 publications
702 citations
University of Cambridge
Cambridge, United Kingdom
4 h-index
16 publications
422 citations
Princeton University
Princeton, United States
4 h-index
7 publications
266 citations
University of California San Diego
San Diego, United States
4 h-index
6 publications
113 citations
Harvard University
Cambridge, United States
4 h-index
8 publications
2.2K citations
1–8 of 399
Repository · 15 publications · 2.1K citations
14
h-index
Repository · 5 publications · 819 citations
6
h-index
3 publications · 281 citations
4
h-index
3 publications · 169 citations
4
h-index
3 publications · 672 citations
3
h-index
1–5