Minimax (sometimes Minmax, MM or saddle point) is a decision rule used in artificial intelligence, decision theory, game theory, statistics, and philosophy...

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. It is an...

Negamax search is a variant form of minimax search that relies on the zero-sum property of a two-player game. This algorithm relies on the fact that ⁠ min (...

The expectiminimax algorithm is a variation of the minimax algorithm, for use in artificial intelligence systems that play two-player zero-sum games,...

artificial intelligence. Examples of algorithms for this class are the minimax algorithm, alpha–beta pruning, and the A* algorithm and its variants. The name "combinatorial...

A minimax approximation algorithm (or L∞ approximation or uniform approximation) is a method to find an approximation of a mathematical function that...

with the minimax theorem. It performs notably faster than the maxn algorithm because of those optimizations. Maxn algorithm Minimax algorithm Sturtevant...

Hybrid Algorithms Alpha–beta pruning: search to reduce number of nodes in minimax algorithm Branch and bound Bruss algorithm: see odds algorithm Chain...

designed by Luckhardt and Irani. Minimax algorithm Luckhardt, Carol A.; Irani, Keki B. (11 August 1986). An Algorithmic Solution of N-Person Games (PDF)...

refer to: Minimax estimator, an estimator whose maximal risk is minimal between all possible estimators Minimax approximation algorithm, algorithms to approximate...

problems. algorithm A precisely defined step-by-step procedure for performing a task. See algorithm. alpha In the minimax search algorithm, the minimum...

search (BNS), originally known as fuzzified game tree search, is a minimax search algorithm, developed in 2011. The idea is that the knowledge that one subtree...

decision-making in search algorithms. Take the minimax algorithm for example. The minimax algorithm is an adversarial search algorithm that is popularly used...

child of parent(J) to OPEN Roizen, Igor; Judea Pearl (March 1983). "A minimax algorithm better than alpha–beta?: Yes and No". Artificial Intelligence. 21...

transportation planning. Any algorithm for the widest path problem can be transformed into an algorithm for the minimax path problem, or vice versa, by...

called Yao's minimax principle or Yao's lemma) relates the performance of randomized algorithms to deterministic (non-random) algorithms. It states that...

In statistics, the k-nearest neighbors algorithm (k-NN) is a non-parametric supervised learning method. It was first developed by Evelyn Fix and Joseph...

[citation needed] The analysis was done using an implementation of the Minimax algorithm and different heuristics. Shiller opening: Both players advance their...

which is passed on to the minimax algorithm. The weights of the neural network were obtained by an evolutionary algorithm (an approach now called neuroevolution)...

construct a minimax algorithm that would exhaustively traverse the game tree. However, since for many non-trivial games such an algorithm would require...

innovations lead to stronger engines. The most iconic game algorithm of all, the Minimax algorithm and its alpha-beta pruning optimization, was and remains...

was described, but not discovered, by Daniel Homan in a chess form. Minimax algorithm Iterative deepening depth-first search "What is depth? - Stockfish...

position on the board. This search process is called minimax. A naive implementation of the minimax algorithm can only search to a small depth in a practical...

such evaluations is usually part of a search algorithm, such as Monte Carlo tree search or a minimax algorithm like alpha–beta search. The value is presumed...

estimator (estimation rule) δ M {\displaystyle \delta ^{M}\,\!} is called minimax if its maximal risk is minimal among all estimators of θ {\displaystyle...

to enhance the speed of the alpha–beta pruning algorithm. Alpha–beta pruning speeds the minimax algorithm by identifying cutoffs, points in the game tree...

enumerated. These are commonly used in bitboard implementations. Minimax algorithm Alpha-beta pruning Zobrist hashing Transposition Tables, Gamedev.net...

alpha–beta pruning, which in turn improves the efficiency of the minimax algorithm. Alpha–beta pruning works best when the best moves are considered...

algorithm that can be faster than alpha–beta pruning. Like alpha–beta pruning, NegaScout is a directional search algorithm for computing the minimax value...

and sixteen plies to a maximum of forty plies in some situations. Minimax algorithm Chen, Bill and Ankenman, Jerrod. The Mathematics of Poker, p110 Online...