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AI---AlphaBetaPruning

The objective of this project was to implemnet alpha beta pruning algorithm on reversi game. Input to the program contains a game position(including the current board state and the player to move) and a search cutoff depth. The programe returns the Alpha Beta Search of input depth.

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A program to determine the minimax value for given positions of the Reversi game, using the Alpha-Beta pruning algorithm with positional weight evaluation functions.

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