abstract a quantitative framework of combination of liner programming and cooperative game theory was used in this study to analyze and model cooperative contracts in production based on rural households' resources cooperation in firoozabad plain. revenues and costs in cooperation game theory have important rule to get agreement. transaction cost function was used in cooperative costs accountin...

this research is a new attempt in order to study the effect of evolution theory in the dimension of empirical ethics. in the contemporary area the evolutionary ethics is in the three branches: descriptive, prescriptive and meta-ethics. the descriptive evolutionary ethics tries to modify human’s ethical believes in the evolutionary aspect and achieves more share from two others part in this grou...

analyzing free riding problem through static games considering homogenous players has been resulted in choosing the free riding strategy as a dominant strategy for the players. in this paper free riding is analyzed through cooperation game imposing non-homogenous players using network models. players would be differentiated by their links with their neighbors in the game. evolutionary game theo...

Game theory is a method of mathematical analysis developed to study the decision making process. In 1928, Von Neumann mathematically proved that every two-person, zerosum game with many pure finite strategies for each player is deterministic. In the early 50's, Nash presented another concept as the basis for a generalization of Von Neumann’s theorem. Another central achievement of game theory i...

The evolution of cooperation is a hot and challenging topic in the field of evolutionary game theory. Altruistic behavior, as a particular form of cooperation, has been widely studied by the ultimatum game but not by the dictator game, which provides a more elegant way to identify the altruistic component of behaviors. In this paper, the evolutionary dictator game is applied to model the real m...

Recently, there have been calls to apply evolutionary game theory to neuroscience. Ours, to the best of our knowledge, is the first application of dynamical evolutionary games to decision making in neuroscience. Firing neurons are the players in the game. The strategy of the players is their firing rate. Neurons with equal firing rates define a population. The neurons (players) do not know the ...