Behavior-based Systems

Behavior-Based Systems is a computational framework within artificial life art that generates autonomous agent behaviors through decentralized control structures, distinguishing itself from centralized symbolic approaches by prioritizing emergent, reactive responses to environmental stimuli.

464

Publications

29.8K

Citations

950

Authors

432

Institutions

Publications per year

2017–2026

47

Authors

950

  1. MJ
    Maja J. Matarić

    University of Southern California, United States

    12 publications · 1K citations

    12

    h-index

  2. YU
    Y. Uchikawa

    Nagoya University, Japan

    7 publications · 208 citations

    7

    h-index

  3. AI
    Akio Ishiguro

    Tohoku University, Japan

    7 publications · 208 citations

    7

    h-index

  4. LC
    Lola Cañamero

    University of Hertfordshire, United Kingdom

    6 publications · 150 citations

    6

    h-index

  5. LS
    Luc Steels

    Vrije Universiteit Brussel, Belgium

    6 publications · 587 citations

    6

    h-index

1–5 of 950

Venues

  1. Adaptive Behavior

    10 publications · 882 citations

    10

    h-index

  2. Proceedings of the National Academy of Sciences

    PNAS · 9 publications · 539 citations

    9

    h-index

  3. Artificial Life

    7 publications · 528 citations

    7

    h-index

  4. Systems Research and Behavioral Science

    6 publications · 358 citations

    6

    h-index

  5. Robotics and Autonomous Systems

    5 publications · 585 citations

    5

    h-index

1–5