Multi-agent Behavior Analysis

Multi-Agent Behavior Analysis is a systematic framework within ensemble performance analysis that characterizes the dynamic, interdependent actions and strategic interactions of multiple autonomous agents in a shared environment to infer emergent behavioral patterns, coordination mechanisms, and performance outcomes distinct from individual agent behavior.

85

Publications

3.1K

Citations

244

Authors

113

Institutions

Publications per year

2017–2026

18

Authors

244

  1. CM
    Charles M. Macal

    Argonne National Laboratory, United States

    4 publications · 615 citations

    4

    h-index

  2. PL
    Patrick Lucey

    Queensland University of Technology, Australia

    4 publications · 101 citations

    4

    h-index

  3. VL
    Victor Lesser

    University of Massachusetts Amherst, United States

    3 publications · 44 citations

    3

    h-index

  4. YY
    Yisong Yue

    California Institute of Technology, United States

    3 publications · 93 citations

    3

    h-index

  5. SZ
    Stephan Zheng

    California Institute of Technology, United States

    2 publications · 60 citations

    2

    h-index

1–5 of 244

Venues

  1. SSRN Electronic Journal

    Repository · 2 publications · 201 citations

    2

    h-index

  2. arXiv (Cornell University)

    Repository · 2 publications · 55 citations

    2

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 33 citations

    2

    h-index

  4. IEEE Intelligent Systems

    2 publications · 76 citations

    2

    h-index

  5. Revista Brasileira de Recursos Hídricos

    1 publications · 10 citations

    1

    h-index

1–5