Game-theoretic Task Allocation

Game-Theoretic Task Allocation is a formal framework for modeling and resolving task assignment problems among rational, self-interested agents by applying game-theoretic principles to analyze strategic interactions, where the allocation outcomes are determined through equilibrium solutions that reflect individual agents' optimal strategies.

93

Publications

5K

Citations

257

Authors

139

Institutions

Publications per year

2017–2026

35

Authors

257

  1. TF
    Tom Friedetzky

    Durham University, United Kingdom

    4 publications · 164 citations

    4

    h-index

  2. ZH
    Zengjian Hu

    Simon Fraser University, Canada

    4 publications · 164 citations

    4

    h-index

  3. DZ
    Daniel Zhang

    University of Notre Dame, United States

    4 publications · 186 citations

    4

    h-index

  4. PB
    Petra Berenbrink

    Simon Fraser University, Canada

    4 publications · 164 citations

    4

    h-index

  5. MP
    Maria Polukarov

    University of Southampton, United Kingdom

    3 publications · 53 citations

    3

    h-index

1–5 of 257

Venues

  1. IEEE Internet of Things Journal

    4 publications · 121 citations

    4

    h-index

  2. Operations Research

    3 publications · 69 citations

    3

    h-index

  3. IEEE Access

    2 publications · 87 citations

    2

    h-index

  4. IEEE Transactions on Robotics

    2 publications · 205 citations

    2

    h-index

  5. Journal of Artificial Intelligence Research

    JAIR · 2 publications · 99 citations

    2

    h-index

1–5