Bayesian Game Theory

Bayesian Game Theory is a formal framework within game theory that integrates Bayesian decision theory to model strategic interactions among rational agents who update their beliefs about uncertain parameters or types of other agents using Bayes' rule in light of observed actions or signals.

928

Publications

76.1K

Citations

2K

Authors

829

Institutions

Publications per year

2017–2026

267

Authors

2K

  1. MT
    Milind Tambe

    University of Southern California, United States

    13 publications · 1.4K citations

    12

    h-index

  2. NK
    Neeraj Kumar

    Thapar Institute of Engineering & Technology, India

    10 publications · 655 citations

    10

    h-index

  3. SK
    Sarit Kraus

    Bar-Ilan University, Israel

    9 publications · 1.2K citations

    9

    h-index

  4. JJ
    Joel J. P. C. Rodrigues

    Instituto de Telecomunicações, Portugal

    8 publications · 523 citations

    8

    h-index

  5. DN
    Dusit Niyato

    Nanyang Technological University, Singapore

    7 publications · 532 citations

    7

    h-index

1–5 of 2K

Venues

  1. Games and Economic Behavior

    16 publications · 2.4K citations

    15

    h-index

  2. RePEc: Research Papers in Economics

    Repository · 17 publications · 1.3K citations

    14

    h-index

  3. arXiv (Cornell University)

    Repository · 15 publications · 683 citations

    12

    h-index

  4. Journal of Economic Theory

    JET · 12 publications · 861 citations

    12

    h-index

  5. Management Science

    12 publications · 6.9K citations

    12

    h-index

1–5