Game Trees

Game Trees is a structured representation in game theory that models sequential decision-making among rational agents by depicting all possible moves and outcomes in a directed acyclic graph, where nodes represent decision points and branches represent feasible actions, distinguished from other graphical representations by its explicit incorporation of temporal order, perfect recall, and extensive-form structure.

209

Publications

8.5K

Citations

375

Authors

187

Institutions

Publications per year

2017–2026

19

Authors

375

  1. DN
    Dana Nau

    University of Maryland, College Park, United States

    10 publications · 341 citations

    10

    h-index

  2. TS
    Tüomas Sandholm

    Carnegie Mellon University, United States

    8 publications · 417 citations

    8

    h-index

  3. MH
    Mark H. M. Winands

    Maastricht University, Netherlands

    7 publications · 265 citations

    7

    h-index

  4. JU
    J.W.H.M. Uiterwijk

    Maastricht University, Netherlands

    5 publications · 169 citations

    5

    h-index

  5. MM
    Martin Müller

    University of Alberta, Canada

    5 publications · 141 citations

    5

    h-index

1–5 of 375

Venues

  1. ICGA Journal

    17 publications · 433 citations

    14

    h-index

  2. International Joint Conference on Artificial Intelligence

    Conference · 9 publications · 274 citations

    9

    h-index

  3. Artificial Intelligence

    7 publications · 578 citations

    7

    h-index

  4. Journal of the ACM

    JACM · 5 publications · 346 citations

    5

    h-index

  5. Theoretical Computer Science

    4 publications · 97 citations

    4

    h-index

1–5