Issue |
EPL
Volume 149, Number 4, January 2025
|
|
---|---|---|
Article Number | 41001 | |
Number of page(s) | 7 | |
Section | Statistical physics and networks | |
DOI | https://doi.org/10.1209/0295-5075/ada6fa | |
Published online | 27 January 2025 |
Reputation mechanisms and cooperative emergence in complex network games: Current status and prospects
1 School of Information Engineering, Guizhou Open University - Guiyang, Guizhou 550023, China
2 School of Mathematics and Statistics, Guizhou University - Guiyang, Guizhou 550025, China
3 Guizhou Provincial Key Laboratory for Games Decision-Making and Control Systems Guiyang, Guizhou 550025, China
Received: 8 October 2024
Accepted: 7 January 2025
This paper comprehensively reviews the research progress on reputation evolution mechanisms within the framework of network-based evolutionary game theory. It first summarizes the typical strategy learning mechanisms used in evolutionary games. Next, it provides an overview of traditional reputation evolution mechanisms and their associated mathematical models, highlighting recent research findings. Furthermore, the paper presents experimental evidence from several key studies, including mechanisms like reputation-based incremental heterogeneity and reputation-based discount accumulation. It identifies the limitations of current research on reputation evolution mechanisms and proposes future research directions. The aim is to empirically verify the role of reputation in promoting cooperative behavior by exploring more accurate reputation evaluation mechanisms and developing reputation evolution models across diverse network structures.
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