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Tic-tac-toe A completed game of tic-tac-toe Other names Noughts and Crosses Xs and Os Genres Paper-and-pencil game Players 2 Setup time Minimal Playing time ~1 minute Chance None Skills Strategy, tactics, observation Tic-tac-toe (American English), noughts and crosses (Commonwealth English), or Xs and Os (Canadian or Irish English) is a paper-and-pencil game for two players who take turns ...
Each box had a code number, which was keyed into a chart. This chart had drawings of tic-tac-toe game grids with various configurations of X, O, and empty squares, [4] corresponding to all possible permutations a game could go through as it progressed. [11]
Machines Playing Tic-Tac-Toe: Donald Michie creates a 'machine' consisting of 304 match boxes and beads, which uses reinforcement learning to play Tic-tac-toe (also known as noughts and crosses). [18] 1967: Nearest Neighbor: The nearest neighbour algorithm was created, which is the start of basic pattern recognition. The algorithm was used to ...
A positional game is a game in which players alternate in taking possession of a given set of elements, with the goal of forming a winning configuration of elements; for instance, in tic-tac-toe and gomoku, the elements are the squares of a grid, and the winning configurations are lines of squares. These examples are symmetric: both players ...
A n d game (or n k game) is a generalization of the combinatorial game tic-tac-toe to higher dimensions. [1] [2] [3] It is a game played on a n d hypercube with 2 players. [1] [2] [4] [5] If one player creates a line of length n of their symbol (X or O) they win the game. However, if all n d spaces are filled then the game is a draw. [4]
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 adversarial search algorithm used commonly for machine playing of two-player combinatorial games (Tic-tac-toe, Chess, Connect 4, etc.).
Self Learning Meta-Tic-Tac-Toe Example web app showing how temporal difference learning can be used to learn state evaluation constants for a minimax AI playing a simple board game. Reinforcement Learning Problem, document explaining how temporal difference learning can be used to speed up Q-learning
In wild tic-tac-toe, players can choose to place either an X or O on each move. [7] [39] [40] [41] It can be played as a normal game where the player who makes three in a row wins or a misere game where they would lose. [7] This game is also called your-choice tic-tac-toe [42] or Devil's tic-tac-toe. [citation needed]