Distributed Problem Solving

Distributed Problem Solving is a computational paradigm in which multiple autonomous agents collaboratively address a complex problem by decomposing it into subproblems, solving them concurrently, and integrating partial solutions through coordinated interaction, thereby distinguishing it from centralized or individual problem-solving approaches.

503

Publications

35.3K

Citations

1K

Authors

411

Institutions

Publications per year

2017–2026

69

Authors

1K

  1. VL
    Victor Lesser

    University of Massachusetts Amherst, United States

    36 publications · 3.5K citations

    28

    h-index

  2. EH
    Edmund H. Durfee

    University of Michigan, United States

    23 publications · 2.5K citations

    18

    h-index

  3. MY
    Makoto Yokoo

    Kyushu University, Japan

    16 publications · 1.9K citations

    14

    h-index

  4. SM
    Shaoshuai Mou

    Purdue University West Lafayette, United States

    10 publications · 641 citations

    10

    h-index

  5. DD
    Daniel D. Corkill

    University of Massachusetts Amherst, United States

    10 publications · 1.6K citations

    10

    h-index

1–5 of 1K

Venues

  1. IEEE Transactions on Systems Man and Cybernetics

    15 publications · 2.2K citations

    13

    h-index

  2. arXiv (Cornell University)

    Repository · 9 publications · 157 citations

    8

    h-index

  3. 7

    h-index

  4. AI Magazine

    7 publications · 397 citations

    7

    h-index

  5. International Joint Conference on Artificial Intelligence

    Conference · 6 publications · 533 citations

    6

    h-index

1–5