game theory

Shapley value cost allocation model for multimodal freight transport carriers

The downstream petroleum products distribution is beset with significant challenges due to ageing pipeline infrastructure, pipeline vandalism and other logistical constraints. These challenges have given rise to soaring pump prices of premium motor spirit (PMS), product shortages and unavailability across some locations in Nigeria. Thus, deploying alternative transport modes for PMS distribution is explored to improve product distribution efficiency.

A comparative study of game theory techniques for blind deconvolution

The aim of this study is to lay emphasis on the potential of the use of Game theory to deal with Blind image Deconvolution.  We consider a static game of two players.  Player one controls the image intensity while the player two controls the blur kernel.  In this game each player aims at minimizing his own functional.  The outcome of the game is a pair of strategies: a deblurred image and an estimation of the blur kernel, that minimizes two functionals.  We determine the optimal image deblurring using two particular game theoretic approaches, recently introduced: the Na

Machine learning and similar image-based techniques based on Nash game theory

The use of computer vision techniques to address the task of image retrieval is known as a Content-Based Image Retrieval (CBIR) system.  It is a system designed to locate and retrieve the appropriate digital image from a large database by utilizing a query image.  Over the last few years, machine learning algorithms have achieved impressive results in image retrieval tasks due to their ability to learn from large amounts of diverse data and improve their accuracy in image recognition and retrieval.  Our team has developed a CBIR system that is reinforced by two machine

A game theory approach for joint blind deconvolution and inpainting

In this paper we propose a new mathematical model for joint Blind Deconvolution and Inpainting.  The main objective is the treatment of blurred images with missing parts, through the game theory framework, in particular, a Nash game, we define two players: Player 1 handles the image intensity while Player 2, operates on the blur kernel.  The two engage in a game until the equilibrium is reached.  Finally, we provide some numerical examples: we compare the efficiency of our proposed approach to other existing methods in the literature that deals with Blind Deconvolution and Inpainting separa

Forecasting economic result of business logic improvements using Game Theory for modeling user scenarios

A new approach to user behavior modeling based on Game Theory was proposed.  It was developed to consider initial intensity, a strategy applied, a profit gained, and resources utilized as inalienable attributes of users' behavior.  The approach covers various aspects of users' motivation and rational actions, not only a statistical image of a pool's summary.  Additionally, the given model is strongly connected to profit and loss parameters by operating with profit and utilized resources as parts of model inputs.  The proposed model can enable efficient modeling aimed to validate an economic

Modeling behavioral strategies competitive companies in the market of tourist service

We have considered the peculiarities of mathematical models construction, which describe different strategies of the competitive companies` behavior at the market of tourist services. We have found that at the market of service provision any subject must act in accordance with the established rules of behavior and interaction of participants of this market. We have developed mathematical models of behavioral strategies and interaction between two competing companies when providing one travel service.