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.
“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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Using limited information to enhance group stability
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Multiagent Learning and Adaptation in an Information Filtering Market
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PARAgente: Exploring the Issues in Agent-Based User Interfaces.
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Team GAMMA: Agent programming on gaea
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Development of micro-robot system for playing soccer games
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Resolving Social Dilemmas Using Genetic Algorithms
Arora, N. K., & Sen, S. (1996) · Cited by 7 · see citing works
Using an explicit model of teamwork in RoboCup
Tambe, M., Adibi, J., Al-Onaizan, Y., et al. (1998) · Lecture notes in computer science · doi:10.1007/3-540-64473-3_54 · Cited by 7 · see citing works
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A multi-layered behavior based system for controlling RoboCup agents
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Organic Programming for Multi-Agents
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Flagged first, then by citations
Cited by
Sorted by citations
Cooperative Multi-Agent Learning: The State of the Art
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Deep Reinforcement Learning: An Overview
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“Similarly, In [26], four different MAS prototypes were summarized based on the dimensions of agent heterogeneity and communication level.”
A Survey on Transfer Learning for Multiagent Reinforcement Learning Systems
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Decision Making in Multiagent Systems: A Survey
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Team-partitioned, opaque-transition reinforcement learning
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Self-citationOpen Problems in Cooperative AI
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Agents and robots for collaborating and supporting physicians in healthcare scenarios
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Multi-agent modeling and simulation in the AI age
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A collective AI via lifelong learning and sharing at the edge
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Self-citationGroup Cognition and Collaborative AI
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LEGOMem: Modular Procedural Memory for Multi-agent LLM Systems for Workflow Automation
Han, D., Couturier, C., Madrigal Diaz, D., Zhang, X., Rühle, V., & Rajmohan, S. (2026) · Proceedings of the 25th International Conference on Autonomous Agents and Multiagent Systems · doi:10.65109/vlua1303 · Cited by 3 · see citing works
“To manage the diversity and compositionality of such tasks, recent systems often adopt multi-agent [23, 30] designs, correspond to Dongge Han at donggehan@microsoft.com.”
A Review of Multi-Agent AI Systems for Biological and Clinical Data Analysis
Spieser, J., Balapour, A., Meller, J., Patra, K. C., & Shamsaei, B. (2026) · Methods and Protocols · doi:10.3390/mps9020033 · Cited by 1 · see citing works
“Compared to a single-agent setting, an MAS more realistically represents complex real-world scenarios involving multiple decision-makers or information sources [7,8].”
- 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
- 167
- 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 › Computer Science › Computer Networks and Communications › Distributed Control Multi-Agent Systems
- Keywords
- multi-agent systems, distributed artificial intelligence, distributed problem solving, behavior management, robot soccer
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