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The maximin strategy is a decision rule used in game theory and various decision-making scenarios to minimize the maximum possible loss. It's particularly applicable in situations where players or decision-makers face uncertainty about the actions of others and want to safeguard against the worst-case outcomes.

The name "maximin" is derived from its approach: it maximizes the minimum gain. This means that among all possible strategies, a player chooses the one that offers the best worst-case scenario. In other words, the strategy focuses on the most favorable outcome among the least favorable options, ensuring that the minimum payoff is as high as possible. This is strategic in unpredictable environments, where mitigating risks and avoiding detrimental losses are crucial.

Application in Various Fields:

Maximin strategies can be crucial in financial investments, where minimizing risks in volatile markets is essential. Also, in military tactics, commanders often use maximin strategies to prepare for the worst-case enemy actions while trying to maintain a tactical advantage.

Calculating the Maximin Strategy:

To determine the maximin strategy, all potential outcomes are analyzed, and the least favorable outcomes for each choice are identified. The choice with the highest payoff among these least favorable outcomes is considered the optimal maximin strategy.

From Chapter 15:

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15.13 : The Maximin Strategy I

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15.1 : Introduction to Game Theory

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15.2 : Cooperative vs. Non-Cooperative Games

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15.3 : Player and Strategies

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15.4 : Zero-Sum and Non-Zero-Sum Game

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15.5 : Payoffs

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15.6 : Dominant and Dominated Strategies

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15.7 : Equilibrium in Dominant Strategies

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15.8 : Prisoner's Dilemma I

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15.9 : Prisoner's Dilemma II

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15.10 : Nash Equilibrium in One-Period Games

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15.11 : Multiple Equilibria

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15.12 : Mixed Strategies

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15.14 : The Maximin Strategy II

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15.15 : Finitely Repeated Games

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