Collective Algorithm Design

Collective Algorithm Design is an academic concept referring to a systematic approach or framework within algorithm design that specifically enables coordinated problem-solving through the integration of multiple autonomous agents or processes, distinguished by its focus on emergent computational intelligence arising from collective interaction rather than centralized control.

33

Publications

3.1K

Citations

123

Authors

69

Institutions

Publications per year

2017–2026

9

Authors

123

  1. DH
    David H. Wolpert

    Ames Research Center, United States

    3 publications · 403 citations

    3

    h-index

  2. KT
    Kagan Tumer

    Ames Research Center, United States

    2 publications · 391 citations

    2

    h-index

  3. MM
    Melanie Mitchell

    Santa Fe Institute, United States

    2 publications · 54 citations

    2

    h-index

  4. MH
    Mingyi Hong

    University of Minnesota, United States

    2 publications · 90 citations

    2

    h-index

  5. RD
    Rajarshi Das

    IBM (United States), United States

    2 publications · 54 citations

    2

    h-index

1–5 of 123

Venues

  1. Applied Sciences

    1 publications · 26 citations

    1

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  2. Expert Systems with Applications

    1 publications · 24 citations

    1

    h-index

  3. 1

    h-index

  4. Nature Machine Intelligence

    1 publications · 38 citations

    1

    h-index

  5. Robotics and Autonomous Systems

    1 publications · 24 citations

    1

    h-index

1–5