A Demand and Contribution Based Bandwidth Allocation Mechanism in P2P Networks: A Game-Theoretic Analysis

2006 ◽  
Author(s):  
Huiye Ma ◽  
Ho-fung Leung
Keyword(s):  
Bandwidth Allocation ◽  
P2p Networks ◽  
Theoretic Analysis ◽  
Allocation Mechanism ◽  
Game Theoretic Analysis ◽  
Game Theoretic

A Game Theoretic Analysis of Resource Pricing and Sharing in P2P Networks

2014 ◽  
Vol 981 ◽  
pp. 209-212
Author(s):  
Qing Feng Zhang ◽  
Sheng Wang ◽  
Dan Liao
Keyword(s):  
Game Theory ◽  
Incentive Mechanism ◽  
Cost Functions ◽  
P2p Networks ◽  
Theoretic Analysis ◽  
Cournot Equilibrium ◽  
Game Theoretic Analysis ◽  
Resource Pricing ◽  
Proposed Model ◽  
Game Theoretic

—This paper proposed an incentive mechanism of resource pricing and sharing to achieve the maximum of profits, which based on game theory. Firstly, we proved the Cournot equilibrium sharing within different price and cost functions to achieve the maximum profits. Secondly, we analyze and solve the Cournot equilibrium sharing, the unit profit and the total profits. Finally, simulation show that the proposed model relationships among the number of providers, different of price and cost functions, the maximum profits parameter, the unit profit and the total profits.

scholarly journals A game theoretic approach reveals that discretizing clinical information can reduce antibiotic misuse

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Maya Diamant ◽  
Shoham Baruch ◽  
Eias Kassem ◽  
Khitam Muhsen ◽  
Dov Samet ◽  
...  
Keyword(s):  
Antibiotic Prescription ◽  
Clinical Information ◽  
Social Optimum ◽  
Theoretic Approach ◽  
Theoretic Analysis ◽  
Game Theoretic Analysis ◽  
Optimal Output ◽  
The Social ◽  
Game Theoretic ◽  
Game Theoretic Approach

AbstractThe overuse of antibiotics is exacerbating the antibiotic resistance crisis. Since this problem is a classic common-goods dilemma, it naturally lends itself to a game-theoretic analysis. Hence, we designed a model wherein physicians weigh whether antibiotics should be prescribed, given that antibiotic usage depletes its future effectiveness. The physicians’ decisions rely on the probability of a bacterial infection before definitive laboratory results are available. We show that the physicians’ equilibrium decision rule of antibiotic prescription is not socially optimal. However, we prove that discretizing the information provided to physicians can mitigate the gap between their equilibrium decisions and the social optimum of antibiotic prescription. Despite this problem’s complexity, the effectiveness of the discretization solely depends on the type of information available to the physician to determine the nature of infection. This is demonstrated on theoretic distributions and a clinical dataset. Our results provide a game-theory based guide for optimal output of current and future decision support systems of antibiotic prescription.

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