Co-evolution Of Control

Co-Evolution of Control is a computational methodology in evolutionary robotics whereby robot controllers and environments or competing agents dynamically adapt through parallel selection processes, enabling the emergence of increasingly sophisticated behavioral strategies via reciprocal evolutionary pressure.

65

Publications

3K

Citations

158

Authors

85

Institutions

Publications per year

2017–2026

8

Variants

Coevolution Of Control

Authors

158

  1. JB
    Josh Bongard

    University of Vermont, United States

    5 publications · 267 citations

    5

    h-index

  2. ET
    Elio Tuci

    Université Libre de Bruxelles, Belgium

    3 publications · 63 citations

    3

    h-index

  3. JT
    Julian Togelius

    New York University, United States

    3 publications · 144 citations

    3

    h-index

  4. PI
    Phillip Isola

    Massachusetts Institute of Technology, United States

    2 publications · 70 citations

    2

    h-index

  5. SM
    Simon M. Lucas

    University of Essex, United Kingdom

    2 publications · 119 citations

    2

    h-index

1–5 of 158

Venues

  1. Robotics and Autonomous Systems

    5 publications · 314 citations

    5

    h-index

  2. Adaptive Behavior

    3 publications · 183 citations

    3

    h-index

  3. Expert Systems with Applications

    2 publications · 25 citations

    2

    h-index

  4. Connection Science

    2 publications · 65 citations

    2

    h-index

  5. Evolutionary Computation

    2 publications · 561 citations

    2

    h-index

1–5