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...

Session title: Agriculture and Energy: new direct and indirect links can lead to unintended consequences The food commodity price boom of 2003-08 was the most notable in the last several decades. It substantially impacted global economic activity. It affected developing nations by impacting real output, the balance of payments, government budgetary positions and most importantly the well being ...

The world oil market is modelled as a two-person non-zero-sum game in normal form with each player having a continuum of strategies. The two players are the oil importing nations (OPIC) and the oil exporting nations (OPEC). The game is solved in the noncooperative sense using the equilibrium point solution concept due to Nash. The Nash equilibrium point solution yields an analytic expression fo...

In the initial models of economic growth, economic factors entered in to models but in the following models, non-economic factors entered in to models. Many broad studies were done on this subject by the economists, and already considerable results were obtained. Subjects such as corruption in the administrative bodies were new variables entering the literature of economic growth at that stage....