Probabilistic Task Allocation

Probabilistic Task Allocation is a task allocation method that assigns tasks to agents based on probability distributions, distinguishing itself from deterministic approaches by incorporating uncertainty and likelihood assessments in the assignment process.

24

Publications

803

Citations

64

Authors

35

Institutions

Publications per year

2017–2026

7

Authors

64

  1. LS
    Love Singhal

    University of California, Irvine, United States

    2 publications · 31 citations

    2

    h-index

  2. SB
    Sem Borst

    Eindhoven University of Technology, Netherlands

    2 publications · 53 citations

    2

    h-index

  3. EB
    Elaheh Bozorgzadeh

    University of California, Irvine, United States

    2 publications · 31 citations

    2

    h-index

  4. DB
    Dhruba Banerjee

    University of California, Irvine, United States

    1 publications · 156 citations

    1

    h-index

  5. ‬G
    ‬Hadi Ghaderi

    Swinburne University of Technology, Australia

    1 publications · 25 citations

    1

    h-index

1–5 of 64

Venues

  1. 2

    h-index

  2. IEEE Transactions on Computers

    2 publications · 165 citations

    2

    h-index

  3. Wireless Communications and Mobile Computing

    WCMC · 1 publications · 14 citations

    1

    h-index

  4. Journal of Parallel and Distributed Computing

    1 publications · 12 citations

    1

    h-index

  5. ACM SIGMETRICS Performance Evaluation Review

    PER · 1 publications · 39 citations

    1

    h-index

1–5