Market-based Task Allocation

Market-Based Task Allocation is a task allocation method that belongs to the class of decentralized coordination mechanisms and is distinguished by its use of economic principles such as bidding, prices, and auctions to allocate tasks among autonomous agents in a multi-agent system.

91

Publications

4.5K

Citations

250

Authors

111

Institutions

Publications per year

2017–2026

20

Authors

250

  1. MP
    Michael P. Wellman

    University of Michigan, United States

    7 publications · 651 citations

    7

    h-index

  2. AS
    Anthony Stentz

    Carnegie Mellon University, United States

    4 publications · 283 citations

    4

    h-index

  3. JK
    Jeffrey K. MacKie–Mason

    University of Michigan, United States

    4 publications · 336 citations

    4

    h-index

  4. PR
    Peter R. Wurman

    North Carolina State University, United States

    4 publications · 293 citations

    4

    h-index

  5. MB
    M. Bernardine Dias

    Carnegie Mellon University, United States

    3 publications · 219 citations

    3

    h-index

1–5 of 250

Venues

  1. Knowledge-Based Systems

    2 publications · 59 citations

    2

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 69 citations

    2

    h-index

  3. Decision Support Systems

    2 publications · 89 citations

    2

    h-index

  4. Journal of Intelligent & Robotic Systems

    2 publications · 139 citations

    2

    h-index

  5. International Journal of Advanced Robotic Systems

    ARS · 2 publications · 41 citations

    2

    h-index

1–5