Information Feedback is a type of feedback loop mechanism in which the output of a system is returned as input in the form of data, knowledge, or signals to regulate, modify, or guide subsequent system behavior, thereby enabling adaptive control and learning within dynamic processes.
527
Publications
28.6K
Citations
1.4K
Authors
613
Institutions
Publications per year
2017–2026
102
Parents
Publications
527
Learning in and about complex systems
John D. Sterman · System Dynamics Review · 1994 · 1.3K citations
H. McIlvaine Parsons · Science · 1974 · 608 citations
1–5 of 527
Authors
1.4K
- BW
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- SP
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- RARichard A. Schmidt
University of California, San Francisco, United States
5 publications · 527 citations
5
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- KM
4
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- GA
4
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1–5 of 1.4K
Institutions
613
University of Illinois Urbana-Champaign
Urbana, United States
11 h-index
18 publications
1.9K citations
University of California, Los Angeles
Los Angeles, United States
10 h-index
14 publications
623 citations
Pennsylvania State University
State College, United States
8 h-index
12 publications
1K citations
Stanford University
Stanford, United States
7 h-index
10 publications
568 citations
University of California, Davis
Davis, United States
7 h-index
10 publications
1.3K citations
Chinese Academy of Sciences
Beijing, China
7 h-index
24 publications
614 citations
Centre National de la Recherche Scientifique
Paris, France
7 h-index
13 publications
606 citations
Shanghai Jiao Tong University
Shanghai, China
6 h-index
13 publications
392 citations
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Venues
- SSRN Electronic Journal
Repository · 11 publications · 459 citations
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- PubMed
Repository · 10 publications · 274 citations
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- IEEE Transactions on Automatic Control
9 publications · 1.1K citations
9
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- IEEE Access
7 publications · 229 citations
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- Journal of Motor Behavior
JMB · 7 publications · 542 citations
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