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Cited by 1,218Multi-Agent Systems and NegotiationReinforcement Learning in RoboticsDistributed Control Multi-Agent Systems

The DOI matches its Crossref record; 167 of the 178 references it cites were found in a registry or an index.

Multiagent Systems: A Survey from a Machine Learning Perspective

Stone, Peter, Veloso, Manuela·2000·Autonomous Robots
DOI 10.1023/a:1008942012299
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Overview

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Registry

Crossref · 10.1023/a:1008942012299

Cites

167 of 167 references verified0 citation errors · 0 not checkable

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Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • 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]

Citations

Cites

Flagged first, then by citations

11 of the 178 references couldn’t be matched to a known paper.

Research works printed but not linked: 26

  1. AAAI. 1995. Proceedings of the First International Conference on Multi-Agent Systems (ICMAS-95), Menlo Park, CA, AAAI Press. Victor Lessor-General Chair.
  2. Asada, M. and Kitano, H. (Eds.) 1999. RoboCup-98: Robot Soccer World Cup II, Springer Verlag: Berlin. Lecture Notes in Artificial Intelligence, vol. 1604.
  3. Bowling, M. and Veloso, M. 1999. Motion control in dynamic multirobot environments. In Proceedings of The 1999 IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA'99), Monterrey.
  4. Finin, T., McKay, D., Fritzson, R., and McEntire, R. 1994. KQML: An information and knowledge exchange protocol. In Knowledge Building and Knowledge Sharing, K. Fuchi and T. Yokoi (Eds.), Ohmsha and IOS Press.
  5. Gutmann, J.-S., Hattzack, W., Herrmann, I., Nebel, B., Rittinger, F., Topor, A., Weigel, T., and Welsch, B. 1998. The CS Freiburg team. In Proceedings of the Second RoboCupWorkshop, M. Asada (Ed.), Paris, France, pp. 451–458.
  6. Han, W.-G., Baek, S.-M., Kuc, T.-Y., and Kwan, S.K. 1996. Path planning of visual-served multiple mobile robots using the genetic algorithms. In Proceedings of the Micro-Robot World Cup Soccer Tournament, Taejon, Korea, IEEE Robotics and Automation Society, pp. 57–63.
  7. Holland, O.E. 1996. Multiagent systems: Lessons from social insects and collective robotics. In Adaptation, Coevolution and Learning in Multiagent Systems: Papers fromthe 1996 AAAI Spring Symposium, Menlo Park, CA, AAAI Press, pp. 57–62. AAAI Technical Report SS-96-01.
  8. Hong, S.-G., Eom, T.-D., Jeong, Il.-K., Choi, C., Shin, J.-H. and Lee, J.-J. 1996. Development of soccer-playing robots: Control, cooperation, and strategy. In Proceedings of the Micro-Robot World Cup Soccer Tournament, Taejon, Korea, IEEE Robotics and Automation Society, pp. 134–141.
  9. Inoue, N. and Wilkin, S. 1997. Learning system for the formation and the pass-play. Presented at the Poster Session of the IROS-96 Workshop on RoboCup.
  10. Kim, J.-H. (Ed.). 1996. Proceedings of the Micro-Robot World Cup Soccer Tournament, Taejon, Korea.
  11. Kim, D.-Y. and Chung, M.J. 1996. Path planning for multi-mobile robots in the dynamic environment. In Proceedings of the Micro-Robot World Cup Soccer Tournament, Taejon, Korea, IEEE Robotics and Automation Society, pp. 127–132.
  12. Kitano, H. (Ed.). 1996. Proceedings of the IROS-96 Workshop on RoboCup, Osaka, Japan.
  13. Kitano, H. (Ed.). 1998. RoboCup-97: Robot Soccer World Cup I, Springer Verlag: Berlin.
  14. Korf, R.E. 1992. A simple solution to pursuit games. In Working Papers of the 11th InternationalWorkshop on Distributed Artificial Intelligence, pp. 183–194.
  15. Koza, J.R. 1992. Genetic Programming, MIT Press.
  16. Matsuyama, T. 1997. Cooperative distributed vision. In Proceedings of the First International Workshop on Cooperative Distributed Vision, Kyoto, Japan.
  17. Mizuno, H., Kourogi, M., and Muraoka, Y. 1996. Building shoobot possible to dribble and shoot. In Proceedings of the IROS-96Workshop on RoboCup.
  18. Sen, S. (Ed.). 1996. Adaptation, Coevolution and Learning in Multiagent Systems: Papers from the 1996 AAAI Spring Symposium, Menlo Park, CA, AAAI, AAAI Press. AAAI Technical Report SS-96-01.
  19. Shim, H.-S., Jung, M.-J., Kim, H.-S., Choi, I.-H., Han, W.-S., and Kim, J.-H. 1996. Designing distributed control architecture for cooperative multiagent systems. In Proceedings of the Micro-Robot World Cup Soccer Tournament, Taejon, Korea, IEEE Robotics and Automation Society, pp. 19–25.
  20. Stone, P. and Veloso, M. 1996. Using machine learning in the soccer server. In Proceedings of the IROS-96 Workshop on RoboCups, Osaka, Japan, pp. 19–27.
  21. Sugawara, T. and Lesser, V. 1995. Learning coordination plans in distributed OS environments. In Proceedings of the First International Conference on Multi-Agent Systems, V. Lesser (Ed.), San Francisco, CA, MIT Press, p. 462.
  22. Tambe, M. 1996. Tracking dynamic team activitys. In Proceedings of the Thirteenth National Conference on Artificial Intelligence, Menlo Park, California, AAAI Press.
  23. Uther, W.T.B. and Veloso, M.M. 1997. Generalizing adversarial reinforcement learning. In Proceedings of the AAAI Fall Symposium on Model Directed Autonomous Systems.
  24. Veloso, M., Pagello, E., and Kitano, H. (Eds.). 2000. RoboCup-99: Robot Soccer World Cup III. Springer Verlag: Berlin.
  25. Weiß, G. 1996. ECAI-96 Workshop on Learning in Distributed Arti-ficial Intelligence, Call for Papers.
  26. Weiß, G. and Sen, S. (Eds.)(1996). Adaptation and Learning in Multiagent Systems, Springer Verlag: Berlin.

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Metadata

Authors
Stone, P., & Veloso, M.
Affiliations
  • AT&T (United States) (US)
  • Carnegie Mellon University (US)
ORCID
Venue
Autonomous Robots
Publisher
Springer Science and Business Media LLC
Published
2000-06
Volume
8
Issue
3
Pages
345-383
ISSN
  • 0929-5593 (ISSN-L)
  • 1573-7527
DOI
10.1023/a:1008942012299
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

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