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Game theory and Minimax

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Game theory and Minimax

Game theory vs. Minimax

Game theory is "the study of mathematical models of conflict and cooperation between intelligent rational decision-makers". Minimax (sometimes MinMax or MM) is a decision rule used in decision theory, game theory, statistics and philosophy for minimizing the possible loss for a worst case (maximum loss) scenario.

Similarities between Game theory and Minimax

Game theory and Minimax have 18 things in common (in Unionpedia): Algorithm, Alpha–beta pruning, Cambridge University Press, Chess, Combinatorial game theory, Decision theory, Expected value, Go (game), John Harsanyi, Kenneth Arrow, Move by nature, Nash equilibrium, Normal-form game, Philosophy, Repeated game, Strategy (game theory), Tic-tac-toe, Zero-sum game.

Algorithm

In mathematics and computer science, an algorithm is an unambiguous specification of how to solve a class of problems.

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Alpha–beta pruning

Alpha–beta pruning is a search algorithm that seeks to decrease the number of nodes that are evaluated by the minimax algorithm in its search tree.

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Cambridge University Press

Cambridge University Press (CUP) is the publishing business of the University of Cambridge.

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Chess

Chess is a two-player strategy board game played on a chessboard, a checkered gameboard with 64 squares arranged in an 8×8 grid.

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Combinatorial game theory

Combinatorial game theory (CGT) is a branch of mathematics and theoretical computer science that typically studies sequential games with perfect information.

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Decision theory

Decision theory (or the theory of choice) is the study of the reasoning underlying an agent's choices.

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Expected value

In probability theory, the expected value of a random variable, intuitively, is the long-run average value of repetitions of the experiment it represents.

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Go (game)

Go is an abstract strategy board game for two players, in which the aim is to surround more territory than the opponent.

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John Harsanyi

John Charles Harsanyi (Harsányi János Károly; May 29, 1920 – August 9, 2000) was a Hungarian-American economist.

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Kenneth Arrow

Kenneth Joseph "Ken" Arrow (23 August 1921 – 21 February 2017) was an American economist, mathematician, writer, and political theorist.

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Move by nature

In game theory a move by nature is a decision or move in an extensive form game made by a player who has no strategic interests in the outcome.

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Nash equilibrium

In game theory, the Nash equilibrium, named after American mathematician John Forbes Nash Jr., is a solution concept of a non-cooperative game involving two or more players in which each player is assumed to know the equilibrium strategies of the other players, and no player has anything to gain by changing only their own strategy.

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Normal-form game

In game theory, normal form is a description of a game.

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Philosophy

Philosophy (from Greek φιλοσοφία, philosophia, literally "love of wisdom") is the study of general and fundamental problems concerning matters such as existence, knowledge, values, reason, mind, and language.

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Repeated game

In game theory, a repeated game is an extensive form game that consists of a number of repetitions of some base game (called a stage game).

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Strategy (game theory)

In game theory, a player's strategy is any of the options he or she can choose in a setting where the outcome depends not only on his own actions but on the action of others.

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Tic-tac-toe

Tic-tac-toe (also known as noughts and crosses or Xs and Os) is a paper-and-pencil game for two players, X and O, who take turns marking the spaces in a 3×3 grid.

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Zero-sum game

In game theory and economic theory, a zero-sum game is a mathematical representation of a situation in which each participant's gain or loss of utility is exactly balanced by the losses or gains of the utility of the other participants.

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The list above answers the following questions

Game theory and Minimax Comparison

Game theory has 289 relations, while Minimax has 65. As they have in common 18, the Jaccard index is 5.08% = 18 / (289 + 65).

References

This article shows the relationship between Game theory and Minimax. To access each article from which the information was extracted, please visit:

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