Research on the Effectiveness of Network Negotiation Based on Evolutionary Game Model

被引:2
|
作者
Yang, Yang-Yang [1 ]
Xie, Xue-Mei [1 ]
机构
[1] Beijing Univ Posts & Telecommun, Sch Econ & Management, Beijing 100876, Peoples R China
关键词
Government; Games; Biological system modeling; Analytical models; Decision making; Internet; Tools; Network negotiation; deliberative democracy; evolutionary game; simulation analysis; DELIBERATIVE DEMOCRACY; PUBLIC DELIBERATION; ONLINE; PARTICIPATION; INTERNET; MEDIA; GOVERNANCE; CIVILITY;
D O I
10.1109/ACCESS.2020.3033303
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper explores the effectiveness of network negotiation, which can not only provide better suggestions for government decision-making, but also regulate the network order and create a more harmonious network ecological environment. Based on this, this study constructs an evolutionary game model between government and netizens from the perspective of Internet. This paper uses Python tools to analyze the evolution of the game model. It explores the impact of initial strategy, the additional cost of efficient negotiation and the conversion rate of netizens on the evolution results. Furthermore, it introduces the motivate mechanism to study the impact of reward mechanism and punishment mechanism on system evolution.
引用
收藏
页码:194623 / 194630
页数:8
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