Minimax theorem:game theory and the minimax theorem

game theory and the minimax theorem

game theory and the minimax theorem

由MSCARVALONE著作·被引用2次—Arguablythemostimportantresultingametheory,theMinimaxTheoremwasstatedin1928bymathematicianJohnvonNeumanninhispaperZurTheorieDer.。其他文章還包含有:「(AGT1E6)[GameTheory]Zero」、「JohnvonNeumann'sConceptionoftheMinimaxTheorem」、「Min」、「Minimaxtheorem」、「MinimaxTheorem」、「MinimaxTheoreminGameTheory」、「MinimaxTheorems」、「MinimaxTheoremsandTheirProofs」...

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(AGT1E6) [Game Theory] Zero
(AGT1E6) [Game Theory] Zero

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John von Neumann's Conception of the Minimax Theorem
John von Neumann's Conception of the Minimax Theorem

https://web.math.ucsb.edu

The first purpose of this paper is to tell the history of John von Neumann's devel- opment of the minimax theorem for two-person zero-sum games from his ...

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Min
Min

https://en.wikipedia.org

In linear algebra and functional analysis, the min-max theorem, or variational theorem, or Courant–Fischer–Weyl min-max principle, is a result that gives a ...

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Minimax theorem
Minimax theorem

https://en.wikipedia.org

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Minimax Theorem
Minimax Theorem

https://mathworld.wolfram.com

The fundamental theorem of game theory which states that every finite, zero-sum, two-person game has optimal mixed strategies. It was proved by John von ...

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Minimax Theorem in Game Theory
Minimax Theorem in Game Theory

https://medium.com

The term minimax is a combination of the words minimum and maximum, in this strategy a player chooses the highest value (maximum) of all the ...

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Minimax Theorems
Minimax Theorems

https://www.jstor.org

holds for any two finite sets Xlx2, . .Xn } C X and yl, Y2, ,Ym } C Y. Then any real number a satisfies at least one of the two inequalities min max f(x, Yk) ...

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Minimax Theorems and Their Proofs
Minimax Theorems and Their Proofs

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We suppose that X and Y are nonempty sets and f: X x Y →IR A minimax theorem is a theorem which asserts that, under certain conditions, $$-mathop-min } ...

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Minimax
Minimax

https://brilliant.org

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 ...