Repeated game theory based penalty-incentive mechanism for social P2P swarming system

2014 ◽  
Author(s):  
G.L. Wang ◽  
Y.Q. Zhu
Keyword(s):  
Game Theory ◽  
Incentive Mechanism ◽  
Repeated Game ◽  
Repeated Game Theory

Kitcher on Natural Morality

2012 ◽  
Vol 34 (1) ◽  
Author(s):  
Ken Binmore
Keyword(s):  
Game Theory ◽  
Equilibrium Selection ◽  
Repeated Game ◽  
Folk Theorem ◽  
Selection Problem ◽  
Social Contracts ◽  
Evolution Of Morality ◽  
Fairness Norms ◽  
Repeated Game Theory ◽  
Ethical Project

AbstractThis commentary on Philip Kitcher’s Ethical Project compares his theory of the evolution of morality with my less ambitious theory of the evolution of fairness norms that seeks to flesh out John Mackie’s insight that one should use game theory as a framework within which to assess anthropological data. It lays particular stress on the importance of the folk theorem of repeated game theory, which provides a template for the set of stable social contracts that were available to ancestral hunter-gatherer communities. It continues by drawing attention to the relevance of Harsanyi’s theory of empathetic preferences in structuring the fairness criteria that evolved as one response to the equilibrium selection problem that the folk theorem demonstrates is endemic in our species.

scholarly journals Multistrategy Repeated Game-Based Mobile Crowdsourcing Incentive Mechanism for Mobile Edge Computing in Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Chuanxiu Chi ◽  
Yingjie Wang ◽  
Yingshu Li ◽  
Xiangrong Tong
Keyword(s):  
Game Theory ◽  
Internet Of Things ◽  
Incentive Mechanism ◽  
Repeated Game ◽  
Edge Computing ◽  
Quality Data ◽  
Mobile Edge Computing ◽  
High Quality ◽  
Mobile Crowdsourcing

With the advent of the Internet of Things (IoT) era, various application requirements have put forward higher requirements for data transmission bandwidth and real-time data processing. Mobile edge computing (MEC) can greatly alleviate the pressure on network bandwidth and improve the response speed by effectively using the device resources of mobile edge. Research on mobile crowdsourcing in edge computing has become a hot spot. Hence, we studied resource utilization issues between edge mobile devices, namely, crowdsourcing scenarios in mobile edge computing. We aimed to design an incentive mechanism to ensure the long-term participation of users and high quality of tasks. This paper designs a long-term incentive mechanism based on game theory. The long-term incentive mechanism is to encourage participants to provide long-term and continuous quality data for mobile crowdsourcing systems. The multistrategy repeated game-based incentive mechanism (MSRG incentive mechanism) is proposed to guide participants to provide long-term participation and high-quality data. The proposed mechanism regards the interaction between the worker and the requester as a repeated game and obtains a long-term incentive based on the historical information and discount factor. In addition, the evolutionary game theory and the Wright-Fisher model in biology are used to analyze the evolution of participants’ strategies. The optimal discount factor is found within the range of discount factors based on repeated games. Finally, simulation experiments verify the existing crowdsourcing dilemma and the effectiveness of the incentive mechanism. The results show that the proposed MSRG incentive mechanism has a long-term incentive effect for participants in mobile crowdsourcing systems.

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