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Multiagent Systems: A Survey from a Machine Learning Perspective
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“Compared to a single-agent setting, an MAS more realistically represents complex real-world scenarios involving multiple decision-makers or information sources [7,8].”
From A Review of Multi-Agent AI Systems for Biological and Clinical Data Analysis (2026) · cites this paper as [8]
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Prasanna, A., Holzhauer, S., & Krebs, F. (2019) · Gesellschaft für Informatik (GI) · doi:10.18420/inf2019_73 · Cited by 6
MGpi: A Computational Model of Multiagent Group Perception and Interaction
Sanghvi, N., Yonetani, R., & Kitani, K. (2020) · Adaptive Agents and Multi-Agents Systems · doi:10.65109/kgsj2559 · Cited by 6
The Impact of Agent Definitions and Interactions on Multiagent Learning for Coordination
Chung, J. J., Miklić, D., Sabattini, L., Tumer, K., & Siegwart, R. (2019) · Adaptive Agents and Multi-Agents Systems · doi:10.65109/ghfn7759 · Cited by 6
Machine Learning in the Four-Legged League
Chalup, S. K., & Murch, C. L. (2004) · IFAC Proceedings Volumes · doi:10.1016/s1474-6670(17)31189-8 · Cited by 6
A purely distributed implementation of undervoltage load shedding
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Multiagent reinforcement learning in extensive form games with complete information
Akramizadeh, A., Menhaj, M. B., & Afshar, A. (2009) · IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning · doi:10.1109/adprl.2009.4927546 · Cited by 6
Modular Creation of Neuronal Networks for Autonomous Robot Control
Massa, G. L. O., Vinuesa, H., & Lanzarini, L. C. (2006) · Latin American Robotics Symposium, Brazilian Symposium on Robotics and Workshop on Robotics in Education (LARS/SBR/WRE) · doi:10.1109/lars.2006.334331 · Cited by 6
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Metadata
- Authors
- Stone, P., & Veloso, M.
- Affiliations
- AT&T (United States) (US)
- Carnegie Mellon University (US)
- Venue
- Autonomous Robots
- Published
- 2000-06
- Volume
- 8
- Issue
- 3
- Pages
- 345-383
- ISSN
- 0929-5593 (ISSN-L)
- 1573-7527
- OpenAlex
- W2147492008
- Cited by
- 1,218
- References
- 178
- Citations by year
- 2026: 57 · 2025: 42 · 2024: 31 · 2023: 21 · 2022: 37 · 2021: 59 · 2020: 65 · 2019: 58 · 2018: 64 · 2017: 69 · 2016: 42 · 2015: 48 · 2014: 52 · 2013: 45 · 2012: 42
- FWCI
- 32.90
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Autonomous Robots (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Multi-Agent Systems and Negotiation
- Physical Sciences › Computer Science › Artificial Intelligence › Reinforcement Learning in Robotics
- Physical Sciences › Engineering › Control and Systems Engineering › Distributed Control Multi-Agent Systems
- Keywords
- multi-agent systems, distributed artificial intelligence, distributed problem solving, behavior management, robot soccer
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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