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  2. Dictionary

    min·i·max
    [ˈminēˌmaks]
    noun
    minimax (noun) · minimaxes (plural noun)
    1. the lowest of a set of maximum values. Compare with maximin
    adjective
    minimax (adjective)
    1. (in game theory) denoting a strategy that minimizes the greatest risk to a participant.
      • denoting the theory that in a game with two players, a player's smallest possible maximum loss is equal to the same player's greatest possible minimum gain.
    Origin
    early 20th century (in rare sense ‘point in topological space at which function defined on the space is stationary’): blend of minimum and maximum.
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    Why is minimax called minimax?The name minimax arises because each player minimizes the maximum payoff possible for the other – since the game is zero-sum, they also minimize their own maximum loss (i.e., maximize their minimum payoff). See also example of a game without a value .
    en.wikipedia.org
    What is minimax in game theory?In game theory, minimax is a decision rule used to minimize the worst-case potential loss; in other words, a player considers all of the best opponent responses to his strategies, and selects the strategy such that the opponent's best strategy gives a payoff as large as possible.
    What is minimax in statistics?Minimax is the principle in statistical decision theory of optimizing worst-case outcomes. The minimax principle was first formalized by Wald in a sequence of papers culminating in Wald ( 1950 ). In statistics, minimax estimators or decision rules have since become the objects of a rich literature.
    link.springer.com
    What does minimax principle mean?Need even more definitions? Subscribe to America's largest dictionary and get thousands more definitions and advanced search—ad free! The meaning of MINIMAX PRINCIPLE is a principle of choice for a decision problem: one should choose the action which minimizes the loss that can be suffered even under the worst circumstances.
     
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    Minimax - Wikipedia

    Minmax (sometimes Minimax, MM or saddle point ) is a decision rule used in artificial intelligence, decision theory, game theory, 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 … See more

    In general games
    The maximin value is the highest value that the player can be sure to get without knowing the actions … See more

    Minimax in the face of uncertainty
    Minimax theory has been extended to decisions where there is no other player, but where the consequences of decisions depend on unknown … See more

    The concept of "lesser evil" voting (LEV) can be seen as a form of the minimax strategy where voters, when faced with two or more candidates, choose the one they perceive as the least harmful or the "lesser evil." To do so, "voting should not be viewed as a … See more

    "Minimax principle", Encyclopedia of Mathematics, EMS Press, 2001 [1994]
    "Mixed strategies". cut-the-knot.org. Curriculum: Games. … See more

    In combinatorial game theory, there is a minimax algorithm for game solutions.
    A simple version of the minimax algorithm, stated below, deals with games such as tic-tac-toe, where each player can win, lose, or draw. If player A can win in one move, their best … See more

    In philosophy, the term "maximin" is often used in the context of John Rawls's A Theory of Justice, where he refers to it in the context of The See more

     
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  5. Minimax Definition & Meaning - Merriam-Webster

  6. Minimax | Brilliant Math & Science Wiki

    WEBIn game theory, minimax is a decision rule used to minimize the worst-case potential loss; in other words, a player considers all of the best opponent responses to his strategies, and selects the strategy such that …

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  11. Understanding the Minimax Algorithm | by Dorian …

    WEBSep 15, 2020 · The minimax algorithm is such an algorithm that makes computers behave intelligently but they are not learning anything. And despite that, it works quite well in many games. Minimax Algorithm. If we …

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