Stability of networked evolutionary games with payoff perturbation

Abstract In networked evolutionary games (NEGs), some elements in the payoff matrix of players may change due to environmental factors. In this article, the stability of NEGs with payoff perturbation is studied using the semi‐tensor product (STP) of matrices, and some new results are given. First, the perturbation of a column of the payoff matrix is considered, and a necessary and sufficient condition to ensure that the transition matrix of the profiles evolution dynamics to remain unchanged is provided. Second, the case that multiple columns of the game profile transition matrix are perturbed is investigated, and a necessary and sufficient condition for the stability of the NEGs is proposed. Finally, the validity of the results is illustrated by an example.

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Publication Details

Journal
IET Control Theory and Applications
Published
2024-09-06
DOI
https://doi.org/10.1049/cth2.12741
Citations
2
Primary Topic
Evolutionary Game Theory and Cooperation
Type
article
Field-Weighted Citation Impact
2.26

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article

Stability of networked evolutionary games with payoff perturbation

Shihua Fu, Ziyun Wang, Xiaoyu Zhao
2 citations
IET Control Theory and Applications
Evolutionary Game Theory and Cooperation
2.26
article

Stability of networked evolutionary games with payoff perturbation

Shihua Fu, Ziyun Wang, Xiaoyu Zhao
article en
2 citations

Abstract

Abstract In networked evolutionary games (NEGs), some elements in the payoff matrix of players may change due to environmental factors. In this article, the stability of NEGs with payoff perturbation is studied using the semi‐tensor product (STP) of matrices, and some new results are given. First, the perturbation of a column of the payoff matrix is considered, and a necessary and sufficient condition to ensure that the transition matrix of the profiles evolution dynamics to remain unchanged is provided. Second, the case that multiple columns of the game profile transition matrix are perturbed is investigated, and a necessary and sufficient condition for the stability of the NEGs is proposed. Finally, the validity of the results is illustrated by an example.

IET Control Theory and ApplicationsVol. 18(17)
Shandong University (CN), Liaocheng University (CN)
National Natural Science Foundation of China, Liaocheng University
Openalex Percentile: Top 10%
Evolutionary Game Theory and Cooperation
2.26
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