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Introduction to Game Theory

Nash Equilibrium

Nash Equilibrium

Nash Equilibrium is a key concept in game theory that describes a condition in which each player in a game chooses a strategy that is optimal given the strategies chosen by the other players. More formally, a Nash Equilibrium is a set of strategies, one for each player, such that no player can improve their payoff by changing their strategy, given the strategies of the other players. This concept is named after John Nash, who introduced it in his seminal paper on game theory in 1950.

Example of the Prisoner's Dilemma

To understand Nash Equilibrium, let's consider an example of a simple two-player game called the Prisoner's Dilemma. In this game, two accomplices are arrested for a crime and are being questioned separately. If both remain silent, they will each be sentenced to one year in jail. If one betrays the other and the other remains silent, the betrayer will go free while the silent one will be sentenced to three years in jail. If both betray each other, they will each be sentenced to two years in jail. In this game, each player has to choose between two strategies: to remain silent or to betray their accomplice. The payoff for each player depends on the strategy chosen by both players. The Nash Equilibrium for this game is for both players to betray each other, as neither player can improve their payoff by changing their strategy, given the strategy of the other player.

Applications of Nash Equilibrium

Nash Equilibrium is a powerful tool for analyzing strategic behavior in a wide range of contexts, including economics, political science, and biology. It can be used to predict the outcome of elections, to design auctions, and to understand the evolution of animal behavior. However, it is important to note that not all games have a Nash Equilibrium, and even when they do, it may not be unique or stable.

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