Applying Bayesian game theory to analyse cyber risks of bank transaction systems

2016 ◽  
Author(s):  
Pieter Van der Veeken ◽  
Stijn Van Schooten ◽  
Rhythima Shinde ◽  
Mirko Dunnewind ◽  
Jan van den Berg
Keyword(s):  
Game Theory ◽  
Bayesian Game

Optimal Scheduling Method of Multi-Energy Hub Systems Based on Bayesian Game Theory

2021 ◽  
Author(s):  
Jing Xu ◽  
Huizhen Pang ◽  
Bingzhe Zhang ◽  
Qixian Li ◽  
Yu Huang
Keyword(s):  
Game Theory ◽  
Optimal Scheduling ◽  
Bayesian Game ◽  
Energy Hub ◽  
Scheduling Method

Hobbes's State of Nature: A Modern Bayesian Game-Theoretic Analysis

2015 ◽  
Vol 1 (3) ◽  
pp. 485-508 ◽  
Author(s):  
HUN CHUNG
Keyword(s):  
Game Theory ◽  
The State ◽  
The Other ◽  
Theoretic Model ◽  
Theoretic Analysis ◽  
Bayesian Game ◽  
Game Theoretic Analysis ◽  
State Of Nature ◽  
Game Theoretic ◽  
Game Theoretic Model

ABSTRACT:Hobbes's own justification for the existence of governments relies on the assumption that without a government our lives in the state of nature would result in a state of war of every man against every man. Many contemporary scholars have tried to explain why universal war is unavoidable in Hobbes's state of nature by utilizing modern game theory. However, most game-theoretic models that have been presented so far do not accurately capture what Hobbes deems to be the primary cause of conflict in the state of nature—namely, uncertainty, rather than people's egoistic psychology. Therefore, I claim that any game-theoretic model that does not incorporate uncertainty into the picture is the wrong model. In this paper, I use Bayesian game theory to show how universal conflict can break out in the state of nature—even when the majority of the population would strictly prefer to cooperate and seek peace with other people—due to uncertainty about what type of person the other player is. Along the way, I show that the valuation of one's own life is one of the central mechanisms that drives Hobbes's pessimistic conclusion.

scholarly journals A Performance on Repeated Bayesian Game Theory in Wireless Sensor Networks

2019 ◽  
Vol 9 (1) ◽  
pp. 2553-2558
Keyword(s):  
Game Theory ◽  
Wireless Sensor Networks ◽  
Virtual Reality ◽  
Wireless Sensor ◽  
Bayesian Game ◽  
Measuring Device ◽  
Starting Point ◽  
Mathematical Investigation ◽  
International Data ◽  
Game Theoretic

A Repeated Bayesian game-theoretic line of attackis usedto framecommunicationcontroller in get-up-and-go bring inmeasuring devicelinkages. In wide-ranging, the get-up-andgostate-run of an get-up-and-go harvesting measuring deviceshow a discrepancy more melodramaticallyby means ofstage as paralleled to old-fashioned battery-powered measuring device. Therefore, every oneget-up-and-goharvesting measuring device is quick to respondto the advertisementget-up-and-go state, which is established as its sequestereddata. This computing expedient adoptsitscommunicate online of attack according to its credence in its challengers'get-up-and-gocircumstances. In attendancebe real Bayesian Nash equipoise (BNE) anywhere a measuring devicethroughget-up-and-gocomplex than its energystarting point will pick incommunicates at immovable influence and time lagor else. We confirmation how each measuring device starting point to make the most of its effectiveness purpose. What is more, we confirmation by means of virtual reality that the presentation of the Repeated Bayesian theory of on for exemplary is on your doorstep to that of a picture-perfect factson forever whereget-up-and-go environments are communal statistics to all sensors. In this section, the mathematical investigation islocated obtainable to help recognize the perceptions of the projected bank of cloud International Data Corporation (IDS) on for prototypical.

MP2P Resource Node Selection Strategy Based on Altruism and Bayesian Game

2015 ◽  
Vol 738-739 ◽  
pp. 1160-1168 ◽  
Author(s):  
Yan Liu ◽  
Guo Yin Zhang ◽  
Jin Zhou He
Keyword(s):  
Game Theory ◽  
Selection Strategy ◽  
Bayesian Game ◽  
Node Selection

Considering the changes of MP2P topology due to the limitation of the capability, the unreliable and the churn of the node, the paper proposes a efficiency and safety resource node selection strategy based on Altruism and Bayesian Game in MP2P network. Firstly, obtaining the resource node altruism degree from the value of the contribution and profit of the node . Secondly, adopting the static Bayesian Game theory to connect the resource nodes, the strategy can increase the downloading resources quantity and enhance the ratio of successful request.

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