scholarly journals Research on the Natural Hazard Emergency Cooperation Behavior between Governments and Social Organizations Based on the Hybrid Mechanism of Incentive and Linkage in China

2021 ◽  
Vol 18 (24) ◽  
pp. 13064
Author(s):  
Jida Liu ◽  
Changqi Dong ◽  
Shi An ◽  
Yanan Guo
Keyword(s):  
Local Government ◽  
Natural Hazard ◽  
Evolutionary Game ◽  
Game Model ◽  
Strategy Selection ◽  
Factors Affecting ◽  
Social Organizations ◽  
Evolutionary Trajectories ◽  
Emergency Responses ◽  
Selection Of

Social organizations have become an important component of the emergency management system by virtue of their heterogeneous resource advantages. It is of great significance to explore the interaction between the local government and social organizations and to clarify the key factors affecting the participation of social organizations in natural hazard emergency responses. With the aim of exploring the relationship between the local government and social organizations, based on evolutionary game theory, the emergency incentive game model and the emergency linkage game model of natural hazard emergency responses were constructed. The evolutionary trajectories of the emergency incentive game system and the emergency linkage game system were described by numerical simulation. Meanwhile, the influence mechanism of government decision parameters on the strategy selection of both game subjects was analyzed. The results show that both governmental incentive strategy and linkage strategy can significantly improve the enthusiasm of social organizations for participating in natural hazard emergency responses. Moreover, they could encourage social organizations to choose a positive participation strategy. Nevertheless, over-reliance on incentives reduces the probability of the local government choosing a positive emergency strategy. In addition, we found that, when both game subjects tend to choose a positive strategy, the strategy selection of the local government drives that of social organizations.

scholarly journals Study on Stochastic Differential Game Model in Network Attack and Defense

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Xiaotong Xu ◽  
Gaocai Wang ◽  
Jintian Hu ◽  
Yuting Lu
Keyword(s):  
Differential Equation ◽  
Stochastic Differential Equation ◽  
Evolutionary Game ◽  
Markov Property ◽  
Game Model ◽  
Strategy Selection ◽  
Network Attack ◽  
Disturbance Factor ◽  
Attack And Defense ◽  
Selection Of

In recent years, evolutionary game theory has been gradually applied to analyze and predict network attack and defense for maintaining cybersecurity. The traditional deterministic game model cannot accurately describe the process of actual network attack and defense due to changing in the set of attack-defense strategies and external factors (such as the operating environment of the system). In this paper, we construct a stochastic evolutionary game model by the stochastic differential equation with Markov property. The evolutionary equilibrium solution of the model is found and the stability of the model is proved according to the knowledge of the stochastic differential equation. And we apply the explicit Euler numerical method to analyze the evolution of the strategy selection of the players for different problem situations. The simulation results show that the stochastic evolutionary game model proposed in this paper can get a steady state and obtain the optimal defense strategy under the action of the stochastic disturbance factor. In addition, compared with other kinds of literature, we can conclude that the return on security investment of this model is better, and the strategy selection of the attackers and defenders in our model is more suitable for actual network attack and defense.

scholarly journals Tripartite Evolutionary Game Model for Public Health Emergencies

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Zhiqi Xu ◽  
Yukun Cheng ◽  
Shuangliang Yao
Keyword(s):  
Public Health ◽  
Local Government ◽  
Evolutionary Game ◽  
Public Health Emergency ◽  
Game Model ◽  
Negative Behaviors ◽  
The Public ◽  
Public Health Emergencies ◽  
Theoretical Support ◽  
Safety And Health

Public health emergencies are more related to the safety and health of the public. For the management of the public health emergencies, all parties’ cooperation is the key to preventing and controlling the emergencies. Based on the assumption of bounded rationality, we formulate a tripartite evolutionary game model, involving the local government, the enterprises, and the public, for the public health emergency, e.g., COVID-19. The evolutionary stable strategies under different conditions of the tripartite evolutionary game are explored, and the effect from different factors on the decision-makings of participants for public health emergencies is also analyzed. Numerical analysis results show that formulating reasonable subsidy measures, encouraging the participation of the public, and enforcing the punishment to enterprises for their negative behaviors can prompt three parties to cooperate in fighting against the epidemic. Our work enriches an understanding of the governance for the public health emergency and provides theoretical support for the local government and related participants to make proper decisions in public health emergencies.

scholarly journals Does Whistleblowing Work for Air Pollution Control in China? A Study Based on Three-party Evolutionary Game Model under Incomplete Information

2019 ◽  
Vol 11 (2) ◽  
pp. 324 ◽  
Author(s):  
Yunpeng Yang ◽  
Weixin Yang
Keyword(s):  
Air Pollution ◽  
Local Government ◽  
Incomplete Information ◽  
Environmental Protection ◽  
Central Government ◽  
Replicator Dynamics ◽  
Evolutionary Game ◽  
Game Model ◽  
Government Officials ◽  
Local Government Officials

During China’s air pollution campaign, whistleblowing has become an important way for the central government to discover local environmental issues. The three parties involved in whistleblowing are: the central government environmental protection departments, the local government officials, and the whistleblowers. Based on these players, this paper has constructed an Evolutionary Game Model under incomplete information and introduced the expected return as well as replicator dynamics equations of various game agents based on analysis of the game agents, assumptions, and payoff functions of the model in order to study the strategic dynamic trend and stability of the evolutionary game model. Furthermore, this paper has conducted simulation experiments on the evolution of game agents’ behaviors by combining the constraints and replicator dynamics equations. The conclusions are: the central environmental protection departments are able to effectively improve the environmental awareness of local government officials by measures such as strengthening punishment on local governments that do not pay attention to pollution issues and lowering the cost of whistleblowing, thus nurturing a good governance and virtuous circle among the central environmental protection departments, local government officials, and whistleblowers. Based on the study above, this paper has provided policy recommendations in the conclusion.

scholarly journals PUEGM: A Method of User Revenue Selection Based on a Publisher-User Evolutionary Game Model for Mobile Crowdsensing

Sensors ◽  
2019 ◽  
Vol 19 (13) ◽  
pp. 2927
Author(s):  
Zihao Shao ◽  
Huiqiang Wang ◽  
Guangsheng Feng
Keyword(s):  
Data Quality ◽  
Quality Assessment ◽  
Low Cost ◽  
Evolutionary Game ◽  
Real Data ◽  
Quality Data ◽  
Game Model ◽  
Mobile Crowdsensing ◽  
Data Quality Assessment ◽  
Selection Of

Mobile crowdsensing (MCS) is a way to use social resources to solve high-precision environmental awareness problems in real time. Publishers hope to collect as much sensed data as possible at a relatively low cost, while users want to earn more revenue at a low cost. Low-quality data will reduce the efficiency of MCS and lead to a loss of revenue. However, existing work lacks research on the selection of user revenue under the premise of ensuring data quality. In this paper, we propose a Publisher-User Evolutionary Game Model (PUEGM) and a revenue selection method to solve the evolutionary stable equilibrium problem based on non-cooperative evolutionary game theory. Firstly, the choice of user revenue is modeled as a Publisher-User Evolutionary Game Model. Secondly, based on the error-elimination decision theory, we combine a data quality assessment algorithm in the PUEGM, which aims to remove low-quality data and improve the overall quality of user data. Finally, the optimal user revenue strategy under different conditions is obtained from the evolutionary stability strategy (ESS) solution and stability analysis. In order to verify the efficiency of the proposed solutions, extensive experiments using some real data sets are conducted. The experimental results demonstrate that our proposed method has high accuracy of data quality assessment and a reasonable selection of user revenue.

scholarly journals Evolutionary Game Analysis of Capital-Constrained Supplier’s and Manufacturer’s Financing Schemes

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Suyong Zhang ◽  
Panos. M. Pardalos ◽  
Xiaodan Jiang
Keyword(s):  
Financial Risk ◽  
Evolutionary Game ◽  
Interaction Mechanism ◽  
Game Model ◽  
Strategy Selection ◽  
Game Analysis ◽  
Purchase Order ◽  
Financing Strategy ◽  
Theoretical Results ◽  
Financing Schemes

Purchase order financing (POF) and buyer direct financing (BDF) are both innovative financing schemes aiming to help financial constrained suppliers secure financing for production. In this paper, we investigate the interaction mechanism between suppliers’ financing strategy selection and manufacturers’ loans offering strategy adoption under two innovative financing schemes. We developed an evolutionary game model to effectively investigate the interaction mechanism between suppliers and manufacturers and analyzed the evolutionary stable strategies of the game model. Then we used system dynamics to present the performance of the evolutionary game model and took a sensitivity analysis to verify the theoretical results. The main conclusions are as follows: in the supply chain, to deal with the noncooperation among suppliers and manufacturers on innovative financing schemes, the revenue of manufacturers, the rate of manufacturer loan, and the proper financial risk factor should be relatively high.

scholarly journals The Evolutionary Equilibrium of Block Withholding Attack

2021 ◽  
Vol 9 (3) ◽  
pp. 266-279
Author(s):  
Yukun Cheng ◽  
Zhiqi Xu ◽  
Shuangliang Yao
Keyword(s):  
Evolutionary Game ◽  
Dynamic Equations ◽  
Game Model ◽  
Replicator Dynamic ◽  
The World ◽  
Stable Solutions ◽  
Simulation Results ◽  
The Impact ◽  
Theoretical Results ◽  
Selection Of

Abstract Bitcoin is the most famous and the most used cryptocurrency in the world, such that it has received extreme popularity in recent years. However the Bitcoin system is accompanied by different attacks, including the block withholding (BWH) attack. When a miner plays the BWH attack, it will withhold all the blocks newly discovered in the attack pool, damaging the honest miners’ right to obtain the fair reward. In this paper, we consider a setting in which two miners may honestly mine or perform the BWH attack in a mining pool. Different strategy profiles will bring different payoffs, in addition influence the selection of the strategies. Therefore, we establish an evolutionary game model to study the behavior tendency of the miners and the evolutionary stable strategies under different conditions, by formulating the replicator dynamic equations. Through numerical simulations, we further verify the theoretical results on evolutionary stable solutions and discuss the impact of the factors on miners’ strategic choice. Based on these simulation results, we also make some recommendations for the manager and the miners to mitigate the BWH attack and to promote the cooperation between miners in a mining pool.

scholarly journals The Evolutionary Game Model of Local Government Environmental Regulation with Media Participation

2021 ◽  
Vol 267 ◽  
pp. 01030
Author(s):  
Minxue Song ◽  
Tianhua Wang
Keyword(s):  
Local Government ◽  
Local Governments ◽  
Evolutionary Game ◽  
Social Economy ◽  
Pollution Prevention ◽  
Game Model ◽  
Clean Production ◽  
Evolutionary Equilibrium ◽  
Media Supervision ◽  
The Media

The battle for pollution prevention and control has been promoted in an all-round way, and the quality of the ecological environment has been significantly improved, but the results are not stable, and environmental problems are still prominent. With the development of social economy, media supervision is playing an increasingly important role in government actions and environmental issues. This paper considers the role of media supervision, constructs an evolutionary game model between local governments and enterprises, analyzes and explains the evolutionary equilibrium. The results show that the media exposure of corporate pollution and local government inaction is conducive to achieve evolutionary equilibrium {regulation, cleaner production}. Local governments give enterprises pollution control subsidies and environmental protection rewards, which can promote green and clean production of enterprises. The paper provides a useful reference for promoting clean production of enterprises and achieving high-quality development.

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