scholarly journals Sensor Communication Rate Control Scheme Based on Inference Game Approach

2015 ◽  
Vol 2015 ◽  
pp. 1-9
Author(s):  
Sungwook Kim
Keyword(s):  
Game Theory ◽  
Real Life ◽  
Decision Makers ◽  
Optimal Decision ◽  
Game Model ◽  
Uncertain Information ◽  
Theory Approach ◽  
Communication Paradigm ◽  
Control Scheme ◽  
Traditional Game

In real-life situations, decisions must be made even when limited or uncertain information is available. Therefore, the payoff of an action is not clearly known when the decision is made. Recently, game theory has become a powerful tool for analyzing the interactions between decision makers in many domains. However, the traditional game theory approach assumes that a player belief about the payoff of a strategy taken is accurate. To address this problem, we introduce a new kind of game, called an inference game, and study how degrees of uncertainty of belief about payoffs impact the outcomes of real-world games. To approximate an optimal decision, our proposed inference game model can clarify how to better manage ambiguous information. In this study, we apply our inference game model to the sensor communication paradigm and confirm that our approach achieves better performance than other existing sensor communication schemes in widely diverse Internet of Things (IoT) environments.

scholarly journals Waste load allocation under uncertainty using game theory approach and simulation-optimization process

2020 ◽  
Vol 22 (4) ◽  
pp. 815-841 ◽  
Author(s):  
Behnam Andik ◽  
Mohammad Hossein Niksokhan
Keyword(s):  
Game Theory ◽  
Sensitivity Analysis ◽  
Simulation Optimization ◽  
Graph Model ◽  
Decision Makers ◽  
Optimization Process ◽  
Theory Approach ◽  
Waste Load Allocation ◽  
Waste Load ◽  
The Status

Abstract This article aims to present a new methodology for waste load allocation (WLA) in a riverine system considering the uncertainty and achieve the lowest amount of inequity index, cost, and fuzzy risk of standard violation. To find a surface of undominated solutions, a new modified PAWN method, initially designed for sensitivity analysis, was developed and coupled with a simulation-optimization process using multi-objective particle swarm optimization (MOPSO) algorithm, to consider the uncertainty of all affecting variables and parameters by using their probability distribution. The proposed methodology applied to Sefidrood River in the northern part of Iran. Graph model for conflict resolution (GMCR) as a subset of game theory was implemented to attain a compromise on WLA among the stakeholders of a river system's quality in Iran: Department of Environment, Municipal Waste Water, and Private Sector. Some undominated solutions were used in GMCR model and modeling the conflict among decision makers reveals that their preferences and the status quo do not lead to a solely stable equilibrium; thus the intervention of a ruler as arbitrator leads them to reach a compromise on a scenario that has a median FRVS and cost. Sensitivity analysis was done using the PAWN method to assess the sensitivity of three intended objectives to all variables and parameters.

Game theory in regression modeling: A brief review on Shapley Value regression

2021 ◽  
Vol 16 (2) ◽  
pp. 165-168
Author(s):  
Stan Lipovetsky
Keyword(s):  
Game Theory ◽  
Shapley Value ◽  
Cooperative Game Theory ◽  
Real Life ◽  
Marketing Research ◽  
Decision Makers ◽  
Regression Coefficients ◽  
Value Analysis ◽  
Robust Solution ◽  
Building Models

The work describes developments in the multiple regression performed for building models resistant to multicollinearity, having meaningful robust solution for individual parameters, convenient for interpretation of the results, and good for prediction. A tool from the cooperative game theory, the Shapley Value analysis, have been tried for estimation of regression coefficients and relative usefulness of the predictors in a model. This approach has been checked and successfully applied in various real-life projects in data analysts for commercial companies. It is useful for decision makers in economics, management, marketing research, and any other practical fields.

Cooperate when possible, because of game theory

2020 ◽  
pp. 175-178
Author(s):  
Susan D'Agostino
Keyword(s):  
Game Theory ◽  
Real Life ◽  
Decision Makers ◽  
Mathematics Students ◽  
Strategic Interactions ◽  
Prisoners Dilemma

“Cooperate when possible, because of game theory” offers an accessible introduction to the mathematical subfield of game theory—the study of strategic interactions between decision makers—by way of the well-known story of the prisoners’ dilemma. The prisoners’ dilemma offers a thought exercise with real-life applications in interpersonal, commercial, and political negotiations. That is, people, institutions, and countries are wise to cooperate, lest they risk arriving at a worse outcome than if they had cooperated. The discussion is enhanced with numerous hand-drawn illustrations. Mathematics students and enthusiasts are encouraged to cooperate in order to open themselves up to paths that lead to overall better outcomes than if they act alone. At the chapter’s end, readers may check their understanding by working on a problem. A solution is provided.

A GAME MODEL OF IRREVERSIBLE INVESTMENT UNDER UNCERTAINTY

2002 ◽  
Vol 04 (02) ◽  
pp. 127-140 ◽  
Author(s):  
PAULI MURTO ◽  
JUSSI KEPPO
Keyword(s):  
Game Theory ◽  
Brownian Motion ◽  
The Other ◽  
Optimal Decision ◽  
Game Model ◽  
Investment Opportunity ◽  
Irreversible Investment ◽  
Investment Under Uncertainty ◽  
Investment Opportunities ◽  
Telecommunications Network

Most of the literature on real options considers the optimal decision of a firm in isolation from competitors. In reality, however, the actions of competing firms often affect each other's investment opportunities. We develop a game model where many firms compete for a single investment opportunity. When one of the firms triggers the investment the opportunity is completely lost for the other firms. The value of the project for the firms is assumed to follow a geometric Brownian motion. The model combines game theory and the theory of irreversible investment under uncertainty. We characterize the resulting Nash equilibrium under different assumptions on the information that the firms have about each other's valuations for the project. As an example, we present a case of building a telecommunications network.

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.

Resolution of Internal conflicts for conservation of the Hour Al-Azim wetland using AHP-SWOT and game theory approach

2021 ◽  
Vol 107 ◽  
pp. 105495
Author(s):  
Nima Pournabi ◽  
Somaye Janatrostami ◽  
Afshin Ashrafzadeh ◽  
Kourosh Mohammadi
Keyword(s):  
Game Theory ◽  
Theory Approach ◽  
Internal Conflicts
Sign in / Sign up

Export Citation Format

Share Document