Game theory is usually diffi cult to test precisely in the field because predictions typically depend sensitively on features that are not controlled or observed. We conduct one such test using field data from the Swedish lowest unique positive integer (LUPI) game. In the LUPI game, players pick positive integers and whoever chose the lowest unique number wins a fixed prize. Theoretical equilib...

in this paper, a novel hybrid model based on neural network and game theory is proposed to support the analyzers in oil market. in this model, first the neural network is utilized to learn the oil prices associated with opec production level and usa imports level. then the learned neural network is applied by a game model. finally the nash equilibrium points of the game present the optimum deci...

Data envelopment analysis (DEA) is an effective tool for supporting decision-makers to assess bankruptcy, uncertainty concepts including intervals, and game theory. The bankruptcy problem with the qualitative parameters is an economic problem under uncertainty. Accordingly, we combine the concepts of the DEA game theory and uncertain models as interval linear programming (ILP), which can be app...

abstract soil nutrient management with efficient fertilizer use has an important role on maximizing yield and environmental effects. in this study game theory is applied to identify the nutrient proportion for corn production in kooshkak in fars province, iran, in 2008-2009. cost of fertilizer combinations and production of corn are the players of the game. a goal programming was applied to obt...

In this paper, a new approach based on game theory has been proposed to multi responses problem optimization. Game theory is a useful tool for decision making in the conflict of interests between intelligent players in order to select the best joint strategy for them through selecting the best joint desirability. Present research uses the game theory approach via definition of each response as ...

The purpose of rational choice theory is to explain social phenomena by assuming rational choice at the actor’s level. To realize this purpose, the theory assumes two mechanisms: choice by actors and the macro–micro–macro transition. After explaining these mechanisms, this article first shows how rational choice theory successfully explains the problem of social order embodied in various fields...

If there exists no infrastructure, the Cognitive Ratios have to arrange the access to spectrum by themselves in a distributed manner mostly with partial knowledge. Each user has some information about the network, and with this incomplete knowledge, it aims to operate efficiently. To achieve that, the cognitive Ratio users need cooperation with each other. In the article, game theory and learni...

Cloud Computing is an attracting technology in the field of computer science. Cloud Computing involves sharing of resources. In the event of processing many jobs, the load balancing becomes essential for efficient operation and to improve user satisfaction. This paper introduces the strategic model that performs load balancing as well as dynamic partition of the nodes of different cloud. Differ...

In this study the concept of reflexia is applied to modeling behavior of autonomous units. The relationship between reflexia, on the one hand, and mirror neuron system and perception of emotions, on the other hand, is introduced. The main method of using reflexia in a group of autonomous units is Reflexive Game Theory (RGT). To embody RGT in a group of autonomous agents a communication system i...

This paper mainly investigates the environmental and economic impacts of worldwide use of electric vehicles. It can be concluded that governments have good reason to promote the use of electric vehicles. First, the global vehicles population is evaluated with the help of grey forecasting model and the amount of oil saving is estimated through approximate calculation. After that, based on the ga...