Computational Complexity Of Equilibria

Computational Complexity of Equilibria is a theoretical framework in algorithmic game theory that characterizes the inherent difficulty of computing Nash equilibria in normal-form games, distinguishing it from related computational problems by focusing on the classification of equilibrium-finding tasks according to complexity classes such as PPAD or FNP.

247

Publications

14.4K

Citations

425

Authors

221

Institutions

Publications per year

2017–2026

47

Authors

425

  1. CH
    Christos H. Papadimitriou

    University of California, Berkeley, United States

    12 publications · 2.9K citations

    11

    h-index

  2. PW
    Paul W. Goldberg

    University of Liverpool, United Kingdom

    10 publications · 2K citations

    10

    h-index

  3. CD
    Constantinos Daskalakis

    Massachusetts Institute of Technology, United States

    8 publications · 2K citations

    8

    h-index

  4. TS
    Tüomas Sandholm

    Carnegie Mellon University, United States

    7 publications · 542 citations

    7

    h-index

  5. HA
    Haris Aziz

    UNSW Sydney, Australia

    7 publications · 254 citations

    7

    h-index

1–5 of 425

Venues

  1. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 12 publications · 265 citations

    12

    h-index

  2. arXiv (Cornell University)

    Repository · 11 publications · 207 citations

    10

    h-index

  3. Theoretical Computer Science

    10 publications · 315 citations

    10

    h-index

  4. ACM Transactions on Economics and Computation

    TEAC · 6 publications · 178 citations

    6

    h-index

  5. SIAM Journal on Computing

    5 publications · 1.4K citations

    5

    h-index

1–5