Agent-based Discrete-event Models

Agent-Based Discrete-Event Models is a computational modeling framework within discrete-event simulation that integrates autonomous agent behaviors and interactions as the primary mechanism for driving event generation and system dynamics, distinguishing it from traditional event-scheduled models by emphasizing decentralized control and emergent behavior.

54

Publications

1.6K

Citations

175

Authors

85

Institutions

Publications per year

2017–2026

20

Authors

175

  1. SJ
    Simon J. E. Taylor

    Brunel University of London, United Kingdom

    4 publications · 100 citations

    4

    h-index

  2. AA
    Anastasia Anagnostou

    Brunel University of London, United Kingdom

    4 publications · 100 citations

    4

    h-index

  3. GW
    Gerd Wagner

    Brandenburg University of Technology Cottbus-Senftenberg, Germany

    3 publications · 64 citations

    3

    h-index

  4. AN
    Athar Nouman

    Brunel University of London, United Kingdom

    3 publications · 74 citations

    3

    h-index

  5. MB
    Michael Batty

    University College London, United Kingdom

    2 publications · 288 citations

    2

    h-index

1–5 of 175

Venues

  1. 2

    h-index

  2. Winter Simulation Conference

    Conference · 2 publications · 31 citations

    2

    h-index

  3. 2

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 29 citations

    2

    h-index

  5. Information Sciences

    1 publications · 52 citations

    1

    h-index

1–5