Open-ended Evolution

Open-Ended Evolution is an evolutionary process in which the potential for phenotypic and behavioral innovation is unbounded over time, enabling the indefinite generation of novel and increasingly complex solutions within an artificial life or robotics system.

70

Publications

4K

Citations

141

Authors

102

Institutions

Publications per year

2017–2026

26

Authors

141

  1. KO
    Kenneth O. Stanley

    University of Central Florida, United States

    8 publications · 1.6K citations

    8

    h-index

  2. CO
    Charles Ofria

    Michigan State University, United States

    4 publications · 158 citations

    4

    h-index

  3. JL
    Joel Lehman

    University of Central Florida, United States

    4 publications · 1.3K citations

    4

    h-index

  4. SN
    Stefano Nolfi

    Institute of Cognitive Sciences and Technologies, Italy

    3 publications · 173 citations

    3

    h-index

  5. HZ
    Héctor Zenil

    Karolinska Institutet, Sweden

    3 publications · 122 citations

    3

    h-index

1–5 of 141

Venues

  1. Artificial Life

    14 publications · 360 citations

    12

    h-index

  2. Origins of Life and Evolution of Biospheres

    2 publications · 403 citations

    2

    h-index

  3. Entropy

    2 publications · 51 citations

    2

    h-index

  4. 1

    h-index

  5. Evolution Education and Outreach

    1 publications · 28 citations

    1

    h-index

1–5