What is the Minimax strategy for the game theory?
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The Minimax strategy for the game theory is a decision-making process that determines what action to take in a game in which there are multiple possible outcomes. The goal of the strategy is to maximize the player’s gain, or minimize their loss. In order to do this, the player must determine what each possible outcome could mean for them and make a decision based on that information.
The minimax strategy is usually used when there are two possible outcomes: winning and losing. In these cases, it is important to know what each potential win or loss would entail. For example, if I am playing against another person and they have a card that can either win me the game or lose me the game, I would want to choose my action based on whether or not choosing that card would result in me winning or losing. If choosing that card results in me winning, then I will take that action; if choosing it results in me losing, then I will not take that action.
In some cases, there may be more than two possible outcomes. In those cases, it becomes harder to decide which option to take because there are more options with different consequences. For example, if I am playing against another person and they have three cards – one of which can win me the game but also two other cards which can both lose me the game – it becomes much harder for me to decide what course of action to take since there are so many different possibilities with varying degrees of severity.
In general though, the minimax strategy is always used when making decisions about games where there are multiple potential outcomes because it allows players to make choices based on what is best for them rather than blindly following whatever rule they were told by someone else