Active Inference

Active Inference is a theoretical framework within cognitive modeling that explains perception, action, and learning as processes by which agents minimize variational free energy through the orchestration of beliefs and behavior under the Bayesian principle of probabilistic inference.

312

Publications

23.9K

Citations

535

Authors

317

Institutions

Publications per year

2017–2026

259

Authors

535

  1. KF
    Karl Friston

    University College London, United Kingdom

    125 publications · 13.8K citations

    59

    h-index

  2. TP
    Thomas Parr

    University College London, United Kingdom

    37 publications · 3.2K citations

    28

    h-index

  3. GP
    Giovanni Pezzulo

    Institute of Cognitive Sciences and Technologies, Italy

    23 publications · 3.3K citations

    21

    h-index

  4. RS
    Ryan Smith

    Laureate Institute for Brain Research, United States

    22 publications · 1.4K citations

    20

    h-index

  5. CL
    Christopher L. Buckley

    University of Sussex, United Kingdom

    18 publications · 729 citations

    15

    h-index

1–5 of 535

Venues

  1. Frontiers in Psychology

    22 publications · 1.4K citations

    18

    h-index

  2. Neural Computation

    13 publications · 2.4K citations

    12

    h-index

  3. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 12 publications · 340 citations

    11

    h-index

  4. Entropy

    11 publications · 366 citations

    10

    h-index

  5. arXiv (Cornell University)

    Repository · 10 publications · 300 citations

    10

    h-index

1–5