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

Authors

602

  1. JB
    Joshua B. Tenenbaum

    Massachusetts Institute of Technology, United States

    16 publications · 1.5K citations

    15

    h-index

  2. TL
    Thomas L. Griffiths

    University of California, Berkeley, United States

    13 publications · 489 citations

    11

    h-index

  3. EW
    Eric‐Jan Wagenmakers

    University of Amsterdam, Netherlands

    10 publications · 1.2K citations

    10

    h-index

  4. GG
    Gerd Gigerenzer

    Max Planck Institute for Human Development, Germany

    9 publications · 3.1K citations

    9

    h-index

  5. ND
    Noah D. Goodman

    Stanford University, United States

    8 publications · 460 citations

    8

    h-index

1–5 of 602

Venues

  1. Psychological Review

    12 publications · 3.3K citations

    12

    h-index

  2. Frontiers in Psychology

    15 publications · 561 citations

    12

    h-index

  3. eScholarship (California Digital Library)

    Repository · 12 publications · 489 citations

    11

    h-index

  4. Cognitive Science

    10 publications · 1K citations

    10

    h-index

  5. Behavioral and Brain Sciences

    BBS · 9 publications · 1.4K citations

    9

    h-index

1–5