Agent-based Design

Agent-Based Design is a computational design methodology within generative design that employs autonomous, rule-based entities (agents) to explore and synthesize design solutions through localized interactions and emergent behavior, distinguishing it from other generative approaches by its emphasis on decentralized control and adaptive systems.

1.1K

Publications

58.8K

Citations

2.4K

Authors

781

Institutions

Publications per year

2017–2026

222

Authors

2.4K

  1. JC
    Jonathan Cagan

    Carnegie Mellon University, United States

    18 publications · 679 citations

    13

    h-index

  2. NR
    Nicholas R. Jennings

    University of Southampton, United Kingdom

    12 publications · 9.6K citations

    12

    h-index

  3. AR
    Alexander Repenning

    University of Colorado Boulder, United States

    13 publications · 751 citations

    12

    h-index

  4. MW
    Michael Winikoff

    RMIT University, Australia

    11 publications · 475 citations

    11

    h-index

  5. LP
    Lin Padgham

    RMIT University, Australia

    12 publications · 524 citations

    11

    h-index

1–5 of 2.4K

Venues

  1. Computers in Industry

    19 publications · 1.2K citations

    17

    h-index

  2. Automation in Construction

    19 publications · 899 citations

    17

    h-index

  3. Journal of Mechanical Design

    13 publications · 538 citations

    13

    h-index

  4. 12

    h-index

  5. Expert Systems with Applications

    11 publications · 422 citations

    12

    h-index

1–5