The use of game theoretic models has been quite successful in describing various cooperative and non-cooperative optimization problems in networks and other domains of computer systems. In this paper, we study an application of game theoretic models in the domain of distributed system, where nodes play a game to balance the total processing loads among themselves. We have used congestion gaming...

Cooperative advertising is a practice that a manufacturer pays retailers a portion of the local advertising cost in order to induce sales. Cooperative advertising plays a significant role in marketing programs of channel members. Nevertheless, most studies to date on cooperative advertising have assumed that the market demand is only influenced by advertising expenditures but not by retail pric...

Recent theoretical work shows that folk theorems can be developed for infinite overlapping generations games. Cooperation in such games can be sustained as a Nash equilibrium. Besides the efficient cooperative equilibrium there is also the inefficient non-cooperative equilibrium. This paper investigates experimentally whether cooperation actually occurs in a simple overlapping generations game....

Analytical game theory has developed the Nash equilibrium as theoretical tool for the analysis of cooperation and conflicts in interdependent decision making. Indeterminacy and demanding rationality assumptions of the Nash equilibrium have led cognitive game theorists to explore learning-theoretic models of behavior. Two prominent examples are the Bush-Mosteller stochastic learning model and th...

In this paper we study network structures in which the possibilities for cooperation are restricted and the benefits of a group of players depend on how these players are 17 internally connected. One way to represent this type of situations is the so-called reward function, which represents the profits obtainable by the total coalition if links can be used 19 to coordinate agents’ actions. For ...

In this paper, we study collective interaction dynamics emerging in the game of football-soccer. To do so, surveyed a database containing body-sensors traces measured during three professional football matches, where observed statistical patterns that used to propose stochastic model for players' motion field. The model, which is based on linear interactions, captures good approximation spatiot...

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...