Belief-based Learning

Belief-Based Learning is a theoretical construct in behavioral game theory that models how individuals iteratively update their expectations about others' strategies based on observed outcomes, distinguishing itself from alternative learning models by treating beliefs as the primary driver of strategic decision-making.

75

Publications

5.3K

Citations

167

Authors

102

Institutions

Publications per year

2017–2026

22

Authors

167

  1. TH
    Teck‐Hua Ho

    University of California, Berkeley, United States

    4 publications · 1.6K citations

    4

    h-index

  2. AS
    Andrew Schotter

    New York University, United States

    3 publications · 424 citations

    3

    h-index

  3. DF
    Drew Fudenberg

    Harvard University, United States

    3 publications · 59 citations

    3

    h-index

  4. JS
    Joep Sonnemans

    University of Amsterdam, Netherlands

    3 publications · 289 citations

    3

    h-index

  5. TO
    Theo Offerman

    University of Amsterdam, Netherlands

    3 publications · 289 citations

    3

    h-index

1–5 of 167

Venues

  1. Econometrica

    5 publications · 2.2K citations

    5

    h-index

  2. SSRN Electronic Journal

    Repository · 4 publications · 54 citations

    4

    h-index

  3. RePEc: Research Papers in Economics

    Repository · 3 publications · 108 citations

    3

    h-index

  4. CaltechAUTHORS (California Institute of Technology)

    Repository · 2 publications · 29 citations

    2

    h-index

  5. Journal of Economic Theory

    JET · 2 publications · 43 citations

    2

    h-index

1–5