Multi-agent Occupant Simulation

Multi-Agent Occupant Simulation is a computational modeling framework that simulates the collective behaviors of building occupants as autonomous agents interacting within an environment, distinguished by its explicit representation of individual decision-making processes and social interactions among multiple heterogeneous occupants.

45

Publications

2.3K

Citations

120

Authors

55

Institutions

Publications per year

2017–2026

25

Authors

120

  1. TH
    Tianzhen Hong

    Lawrence Berkeley National Laboratory, United States

    5 publications · 318 citations

    5

    h-index

  2. AM
    Ardeshir Mahdavi

    TU Wien, Austria

    4 publications · 177 citations

    4

    h-index

  3. EA
    Elie Azar

    Khalifa University of Science and Technology, United Arab Emirates

    4 publications · 176 citations

    4

    h-index

  4. XL
    Xuan Luo

    Lawrence Berkeley National Laboratory, United States

    3 publications · 233 citations

    3

    h-index

  5. YC
    Yixing Chen

    Hunan University, China

    3 publications · 233 citations

    3

    h-index

1–5 of 120

Venues

  1. Building and Environment

    5 publications · 455 citations

    5

    h-index

  2. Energy and Buildings

    3 publications · 438 citations

    3

    h-index

  3. Automation in Construction

    4 publications · 129 citations

    3

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 49 citations

    2

    h-index

  5. Sustainability

    2 publications · 59 citations

    2

    h-index

1–5