Strategic use of payoff information in k-hop evolutionary Best-shot networked public goods game

被引:4
作者
Jin, Xing [1 ,2 ,5 ]
Tao, Yuchen [1 ]
Wang, Jingrui [3 ]
Wang, Chao [2 ]
Wang, Yongheng [2 ]
Zhang, Zhouyang [6 ]
Wang, Zhen [1 ,4 ,5 ]
机构
[1] Hangzhou Dianzi Univ, Sch Cyberspace, Hangzhou 310018, Peoples R China
[2] Zhejiang Lab, Res Ctr Big Data Intelligence, Hangzhou 310000, Peoples R China
[3] Changchun Univ, Sch Network Secur, Changchun 130022, Peoples R China
[4] Hangzhou Dianzi Univ, Zhuoyue Honors Coll, Hangzhou 310018, Peoples R China
[5] Hangzhou Dianzi Univ, Expt Ctr Data Sci & Intelligent Decis Making, Hangzhou 310018, Peoples R China
[6] Zhejiang Zhike Yunchuang Digital Technol Co LTD, Hangzhou 311121, Peoples R China
基金
中国国家自然科学基金;
关键词
Best-shot networked public goods game; Evolutionary game; Social welfare; Payoff information use strategy; COOPERATION; EQUILIBRIA; PROMOTES;
D O I
10.1016/j.amc.2023.128271
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Globalization has led to increasingly interconnected interactions among individuals. Their payoffs are affected by the investment decision of themselves and their neighbors, which will cause conflicting interests between individual and social investment. Such problems can be modeled as a networked public goods game (NPGG). In this paper, we study the Best-shot NPGG model by introducing three mechanisms: k-hop, payoff information use strategy, and access cost. We use evolutionary game theory and present the k-hop evolutionary Best-shot networked public goods game (k-EBNPG) to explore the impact of these three mechanisms on social welfare. The results show that social welfare will increase with a diminishing margin as k increases while introducing the payoff information use strategy can significantly improve social welfare when k > 1. Finally, we study the impact of access cost on social welfare and surprisingly find that social welfare will achieve the highest when the access cost is half the investment cost.
引用
收藏
页数:10
相关论文
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APPLIED MATHEMATICS AND COMPUTATION, 2021, 390