scholarly journals Model of information deterrence between states based on the theory of reflexive games

Author(s):  
V. A. Savchenko ◽  
◽  
T. M. Dzyuba

The article considers the approach to modeling the processes of information counteraction and information deterrence at the state level. The shortcomings of the game-theoretic approach to the development of formalized models of information counteraction are identified. The concept of formalization of interstate information deterrence on the basis of the theory of reflexive management of V. Lefevre is offered. Unlike classical game theory, this approach takes into account the possible irrationality of human (state) behavior in combination with moral-motivational and pragmatic aspects of choice. The adequacy of the proposed model is confirmed by the analysis of examples of information confrontation between Ukraine and Russia in the post-Soviet period.

1982 ◽  
Vol 55 (3) ◽  
pp. 367 ◽  
Author(s):  
Carl Alan Batlin ◽  
Susan Hinko

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Maya Diamant ◽  
Shoham Baruch ◽  
Eias Kassem ◽  
Khitam Muhsen ◽  
Dov Samet ◽  
...  

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.


2021 ◽  
pp. 127407
Author(s):  
Yuhan Bai ◽  
Kai Fan ◽  
Kuan Zhang ◽  
Xiaochun Cheng ◽  
Hui Li ◽  
...  

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