Interaction Modeling

Interaction Modeling is a formal framework that specifies the dynamic interdependencies and behavioral dependencies among autonomous agents within a shared environment, distinguishing itself from related modeling approaches by explicitly characterizing the reciprocal influences and context-sensitive interactions that govern multi-agent decision-making in domains such as ensemble performance, traffic prediction, robotic compliance, and scenario-based requirement analysis.

435

Publications

38.6K

Citations

1.4K

Authors

629

Institutions

Publications per year

2017–2026

147

Authors

1.4K

  1. YZ
    Yifeng Zeng

    Teesside University, United Kingdom

    4 publications · 69 citations

    4

    h-index

  2. SD
    Simone Diniz Junqueira Barbosa

    Pontifícia Universidade Católica do Rio de Janeiro, Brazil

    4 publications · 72 citations

    4

    h-index

  3. PD
    Prashant Doshi

    University of Georgia, United States

    4 publications · 69 citations

    4

    h-index

  4. XN
    Xiaoxiang Na

    University of Cambridge, United Kingdom

    3 publications · 137 citations

    3

    h-index

  5. XW
    Xinyu Wei

    Shanghai Jiao Tong University, China

    3 publications · 485 citations

    3

    h-index

1–5 of 1.4K

Venues

  1. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 4 publications · 105 citations

    4

    h-index

  2. The Journal of Chemical Physics

    4 publications · 70 citations

    4

    h-index

  3. Journal of the American Chemical Society

    JACS · 3 publications · 382 citations

    3

    h-index

  4. Sensors

    3 publications · 72 citations

    3

    h-index

  5. PubMed

    Repository · 3 publications · 70 citations

    3

    h-index

1–5