Bayesian Cognitive Modeling
Bayesian Cognitive Modeling is a cognitive modeling approach that uses Bayesian inference as the foundational mechanism for representing and updating beliefs about mental representations, thereby distinguishing itself by formalizing cognition as probabilistic reasoning over structured hypotheses given prior knowledge and observed data.
288
Publications
23.3K
Citations
602
Authors
315
Institutions
Publications per year
2017–2026
114
Parents
288
1–5 of 288
602
Massachusetts Institute of Technology, United States
16 publications · 1.5K citations
15
h-index
11
h-index
10
h-index
9
h-index
8
h-index
1–5 of 602
315
University College London
London, United Kingdom
18 h-index
38 publications
3.3K citations
Massachusetts Institute of Technology
Cambridge, United States
15 h-index
24 publications
1.5K citations
University of California, Berkeley
Berkeley, United States
14 h-index
19 publications
832 citations
University of California, Irvine
Irvine, United States
14 h-index
25 publications
2.1K citations

University of Amsterdam
Amsterdam, The Netherlands
14 h-index
27 publications
2.3K citations
Wellcome Centre for Human Neuroimaging
London, United Kingdom
12 h-index
26 publications
2.3K citations
ETH Zurich
Zurich, Switzerland
9 h-index
23 publications
1.7K citations
Stanford University
Stanford, United States
8 h-index
8 publications
745 citations
1–8 of 315
12 publications · 3.3K citations
12
h-index
15 publications · 561 citations
12
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Repository · 12 publications · 489 citations
11
h-index
10 publications · 1K citations
10
h-index
BBS · 9 publications · 1.4K citations
9
h-index
1–5