Minimax is a type of backtracking algorithm. The Minimax algorithm finds an optimal move to make decisions in game theory. Minimax algorithm takes into consideration that the opponent is also playing optimally, which makes it useful for two-player games such as checker, chess, Tic-tac-toe, go ...
Twitter Google Share on Facebook minimax (redirected fromMinimax algorithm) Encyclopedia min·i·max (mĭn′ə-măks′) adj. Of or relating to the strategy in game theory that minimizes the maximum risk for a player. [mini(mum)+max(imum).] ...
In combinatorial games such as chess and Go, the minimax algorithm gives a method of selecting the next optimal move. Firstly, an evaluation function f:\mathbb{P} \rightarrow \mathbb{R}f:P→R from the set of positions to real numbers is required, representing the payoff to the first play...
🎮 使用α-β剪枝(Alpha-beta-pruning)的极小极大算法(Minimax-algorithm)实现的井字棋(一字棋、tic-tac-toe)游戏。 tic-tac-toe minimax alpha-beta-pruning minimax-search minimax-algorithm tic-tac-toe-game Updated Oct 27, 2017 C++ avianey / minimax4j Star 27 Code Issues Pull requests A ...
For a zero-sum differential game, an algorithm is proposed for computing the value of the game and constructing optimal control strategies with the help of stepwise minimax. It is assumed that the dynamics can be nonlinear and the cost functional of the game is the sum of an integral term ...
A simple implementation of Minimax algorithm for getting the best possible move in Tic Tac Toe.View Demo atTicTacToeDescriptionFrom Wikipedia:MiniMaxMinimax (sometimes MinMax or MM[1]) is a decision rule used in decision theory, game theory, statistics and philosophy for minimizing the possible ...
In this paper we formulate this game in the framework of competitive Markov decision processes (also known as stochastic games), show that the game has a value, provide an algorithm to compute the optimal minimax strategy, and present results of this algorithm in three different variants of the...
This is why Minimax is of such great significance in game theory. Theory Behind Minimax The Minimax algorithm relies on systematic searching, or more accurately said - on brute force and a simple evaluation function. Let's assume that every time during deciding the next move we search through ...
Technologies and tools we used in the application are described and the architecture of application is explained. Application consists of two parts: the game itself and a game tree where working of minimax algorithm is visualised. 展开 年份: 2013 ...
A concept in game theory and decision theory which requires that losses or expected losses associated with a variable that can be controlled be minimized, and thus maximizes the losses or expected losses associated with the variable that cannot be controlled. ...