Dynamic Systems Learning is a theoretical framework within observational learning that models the acquisition of complex behaviors as emergent from the continuous, nonlinear interactions between learners and their evolving environmental, social, and cognitive contexts.
220
Publications
13.4K
Citations
520
Authors
244
Institutions
Publications per year
2017–2026
60
Parents
Publications
220
Learning-Based Model Predictive Control for Safe Exploration
Torsten Koller, Felix Berkenkamp, Matteo Turchetta et al. · 2018 · 318 citations
The induction of dynamical recognizers
Jordan Pollack · Machine Learning · 1991 · 299 citations · Full text
1–5 of 220
Authors
520
- WP
7
h-index
- WS
5
h-index
- LK
5
h-index
- IS
3
h-index
- KV
3
h-index
1–5 of 520
Institutions
244
University of Alberta
Edmonton, Canada
7 h-index
18 publications
1.4K citations
Stanford University
Stanford, United States
5 h-index
9 publications
725 citations
Jožef Stefan Institute
Ljubljana, Slovenia
4 h-index
8 publications
510 citations
Arizona State University
Tempe, United States
4 h-index
26 publications
651 citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
5 publications
476 citations
University of Bergen
Bergen, Norway
4 h-index
7 publications
159 citations
University of Illinois Urbana-Champaign
Urbana, United States
4 h-index
8 publications
723 citations
Nanyang Technological University
Singapore, Singapore
3 h-index
3 publications
293 citations
1–8 of 244
Venues
- System Dynamics Review
6 publications · 327 citations
6
h-index
- Electronics Letters
4 publications · 138 citations
4
h-index
- Applied Soft Computing
3 publications · 147 citations
3
h-index
- Frontiers in Psychology
3 publications · 46 citations
3
h-index
- Computers & Education
3 publications · 114 citations
3
h-index
1–5