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  Cooperative and Competitive Multi-Agent Systems: From Optimization to Games

Wang, J., Hong, Y., Wang, J., Xu, J., Tang, Y., Han, Q.-L., Kurths, J. (2022): Cooperative and Competitive Multi-Agent Systems: From Optimization to Games. - IEEE/CAA Journal of Automatica Sinica, 9, 5, 763-783.
https://doi.org/10.1109/JAS.2022.105506

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Wang_2022_Cooperative+and+Competitive+Multi-Agent+Systems +From+Optimization+to+Games.pdf (Publisher version), 3MB
 
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 Creators:
Wang, Jianrui1, Author
Hong, Yitian1, Author
Wang, Jiali1, Author
Xu, Jiapeng1, Author
Tang, Yang1, Author
Han, Qing-Long1, Author
Kurths, Jürgen2, Author              
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1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: Multi-agent systems can solve scientific issues related to complex systems that are difficult or impossible for a single agent to solve through mutual collaboration and cooperation optimization. In a multi-agent system, agents with a certain degree of autonomy generate complex interactions due to the correlation and coordination, which is manifested as cooperative/competitive behavior. This survey focuses on multi-agent cooperative optimization and cooperative/non-cooperative games. Starting from cooperative optimization, the studies on distributed optimization and federated optimization are summarized. The survey mainly focuses on distributed online optimization and its application in privacy protection, and overviews federated optimization from the perspective of privacy protection mechanisms. Then, cooperative games and non-cooperative games are introduced to expand the cooperative optimization problems from two aspects of minimizing global costs and minimizing individual costs, respectively. Multi-agent cooperative and non-cooperative behaviors are modeled by games from both static and dynamic aspects, according to whether each player can make decisions based on the information of other players. Finally, future directions for cooperative optimization, cooperative/non-cooperative games, and their applications are discussed.

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Language(s): eng - English
 Dates: 2022-04-262022-05-01
 Publication Status: Finally published
 Pages: 21
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1109/JAS.2022.105506
MDB-ID: No data to archive
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Research topic keyword: Complex Networks
Research topic keyword: Nonlinear Dynamics
Model / method: Game Theory
 Degree: -

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Title: IEEE/CAA Journal of Automatica Sinica
Source Genre: Journal, SCI, Scopus
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Pages: - Volume / Issue: 9 (5) Sequence Number: - Start / End Page: 763 - 783 Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/2329-9266
Publisher: Institute of Electrical and Electronics Engineers (IEEE)