Distributed Constraint Solving

Distributed Constraint Solving is a constraint solving framework in which multiple autonomous agents collaboratively solve a constraint satisfaction problem by maintaining private variables and constraints while communicating only selected information to coordinate solutions across a distributed environment.

216

Publications

14.4K

Citations

356

Authors

161

Institutions

Publications per year

2017–2026

18

Authors

356

  1. MY
    Makoto Yokoo

    Kyushu University, Japan

    25 publications · 2.8K citations

    19

    h-index

  2. MT
    Milind Tambe

    University of Southern California, United States

    17 publications · 1.8K citations

    15

    h-index

  3. RZ
    Roie Zivan

    Ben-Gurion University of the Negev, Israel

    12 publications · 492 citations

    12

    h-index

  4. KH
    Katsutoshi Hirayama

    Kobe University, Japan

    11 publications · 549 citations

    11

    h-index

  5. WY
    William Yeoh

    New Mexico State University, United States

    10 publications · 361 citations

    10

    h-index

1–5 of 356

Venues

  1. Journal of Artificial Intelligence Research

    JAIR · 9 publications · 631 citations

    9

    h-index

  2. Adaptive Agents and Multi-Agents Systems

    Conference · 9 publications · 230 citations

    9

    h-index

  3. Artificial Intelligence

    7 publications · 1.5K citations

    7

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 5 publications · 155 citations

    5

    h-index

  5. National Conference on Artificial Intelligence

    Conference · 4 publications · 331 citations

    4

    h-index

1–5