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
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244
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113
Carnegie Mellon University
Pittsburgh, United States
4 h-index
4 publications
133 citations
Argonne National Laboratory
Lemont, United States
4 h-index
8 publications
1.2K citations

University of Edinburgh
Edinburgh, United Kingdom
3 h-index
3 publications
56 citations
The University of Texas at Austin
Austin, United States
3 h-index
7 publications
172 citations

University of Massachusetts Amherst
Amherst Center, United States
3 h-index
7 publications
103 citations

Queensland University of Technology
Brisbane, Australia
3 h-index
3 publications
168 citations
University of Arizona
Tucson, United States
3 h-index
4 publications
158 citations
Iowa State University
Ames, United States
2 h-index
5 publications
124 citations
1–8 of 113
Repository · 2 publications · 201 citations
2
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Repository · 2 publications · 55 citations
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Conference · 2 publications · 33 citations
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2 publications · 76 citations
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1 publications · 10 citations
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