Analysis and evaluation of incentive mechanisms in P2P networks: a spatial evolutionary game theory perspective

2014 ◽  
Vol 27 (12) ◽  
pp. 3044-3064 ◽  
Author(s):  
Guanghai Cui ◽  
Mingchu Li ◽  
Zhen Wang ◽  
Jiankang Ren ◽  
Dong Jiao ◽  
...  
Keyword(s):  
Game Theory ◽  
Evolutionary Game Theory ◽  
Evolutionary Game ◽  
P2p Networks ◽  
Incentive Mechanisms ◽  
Analysis And Evaluation

scholarly journals Study on Cooperative Mechanism of Prefabricated Producers Based on Evolutionary Game Theory

2017 ◽  
Vol 2017 ◽  
pp. 1-6 ◽  
Author(s):  
Tongyao Feng ◽  
Shuangliang Tai ◽  
Chengshuang Sun ◽  
Qingpeng Man
Keyword(s):  
Game Theory ◽  
Evolutionary Game Theory ◽  
Evolutionary Game ◽  
Evolutionary Strategies ◽  
Incentive Mechanisms ◽  
Initial Cost ◽  
Cooperation Mechanism ◽  
Decision Making Processes ◽  
The Government ◽  
Evolution Trend

Good cooperation mechanism is an important guarantee for the advancement of industrialization construction. To strengthen the partnership between producers, we analyze the behavior evolution trend of both parties using an evolutionary game theory. Based on the original model, the mechanism of coordination and cooperation between prefabricated producers is explained under the condition of punishment and incentive. The results indicate that stable evolutionary strategies exist under both cooperation and noncooperation, and the evolutionary results are influenced by the initial proportion of both decision-making processes. The government can support the production enterprises to establish a solid partnership through effective punishment and incentive mechanisms to reduce the initial cost in the supply chain of prefabricated construction, resulting in a win-win situation.

scholarly journals A Study of Taxi Service Mode Choice Based on Evolutionary Game Theory

2019 ◽  
Vol 2019 ◽  
pp. 1-17
Author(s):  
Zhu Bai ◽  
Mingxia Huang ◽  
Shuai Bian ◽  
Huandong Wu
Keyword(s):  
Game Theory ◽  
Evolutionary Game Theory ◽  
Mode Choice ◽  
Evolutionary Game ◽  
Payoff Matrix ◽  
Game Model ◽  
Stable States ◽  
Taxi Service ◽  
Service Mode ◽  
The Impact

The emergence of online car-hailing service provides an innovative approach to vehicle booking but has negatively influenced the taxi industry in China. This paper modeled taxi service mode choice based on evolutionary game theory (EGT). The modes included the dispatching and online car-hailing modes. We constructed an EGT framework, including determining the strategies and the payoff matrix. We introduced different behaviors, including taxi company management, driver operation, and passenger choice. This allowed us to model the impact of these behaviors on the evolving process of service mode choice. The results show that adjustments in taxi company, driver, and passenger behaviors impact the evolutionary path and convergence speed of our evolutionary game model. However, it also reveals that, regardless of adjustments, the stable states in the game model remain unchanged. The conclusion provides a basis for studying taxi system operation and management.

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