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Equilibrium Analysis Of Distributed Aggregative Game With Misinformation
Department of Control Science and Engineering, Tongji University, Shanghai 201804. P. R. China..
KTH, School of Electrical Engineering and Computer Science (EECS).
PLA Academy of Military Science and Intelligent Gaming and Decision-making Laboratory, Beijing. P. R. China..
2024 (English)In: Kybernetika (Praha), ISSN 0023-5954, E-ISSN 1805-949X, Vol. 60, no 6, p. 754-778Article in journal (Refereed) Published
Abstract [en]

This paper considers a distributed aggregative game problem for a group of players with misinformation, where each player has a different perception of the game. Player’s deception behavior is inevitable in this situation for reducing its own cost. We utilize hypergame to model the above problems and adopt ϵ-Nash equilibrium for hypergame to investigate whether players believe in their own cognition. Additionally, we propose a distributed deceptive algorithm for a player implementing deception and demonstrate the algorithm converges to ϵ-Nash equilibrium for hypergame. Further, we provide conditions for the deceptive player to enhance its profit and offer the optimal deceptive strategy at a given tolerance ϵ. Finally, we present the effectiveness of the algorithm through numerical experiments.

Place, publisher, year, edition, pages
Institute of Information Theory and Automation , 2024. Vol. 60, no 6, p. 754-778
Keywords [en]
deceptive strategy, distributed aggregative game, hypergame, ϵ-Nash equilibrium for hypergame
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:kth:diva-359284DOI: 10.14736/kyb-2024-6-0754ISI: 001401144400004Scopus ID: 2-s2.0-85215560620OAI: oai:DiVA.org:kth-359284DiVA, id: diva2:1932611
Note

QC 20250131

Available from: 2025-01-29 Created: 2025-01-29 Last updated: 2025-02-12Bibliographically approved

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Cheng, Zhaoyang

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CiteExportLink to record
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Citation style
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  • en-US
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Output format
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