The minimax strategy is a decision rule used in game theory, decision theory, artificial intelligence, statistics, and philosophy for minimizing the possible loss for a worst-case (maximum loss) scenario. When dealing with gains, it is referred to as "maximin" – to maximize the minimum gain.
In a zero-sum game, where one player's gain is the other player's loss, minimax is equivalent to minimizing the maximum loss. In this case, the minimax strategy is always to choose the move that minimizes the worst possible outcome, no matter what the opponent does.
The minimax strategy is a powerful tool for making decisions in uncertain situations. It can help you to minimize your losses and maximize your gains, even when you don't know what your opponent is going to do.
An investor who is trying to decide which stocks to buy might use the minimax strategy to minimize their losses. They would look at the worst possible outcome, such as losing all of their money, and then make their decision based on that. The minimax strategy is a simple but powerful tool that can be used to make better decisions in uncertain situations. It is a valuable tool for businesses of all sizes, and it can also be used in personal decision-making.
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As informações e publicações não devem ser e não constituem conselhos ou recomendações financeiras, de investimento, de negociação ou de qualquer outro tipo, fornecidas ou endossadas pela TradingView. Leia mais em Termos de uso.