A game playing agent that determines the next move in Mancala through greedy approach, minimax, and alpha beta pruning.
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Latest commit e44cc69 Jan 24, 2016
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Problem Statement Organized sample output Jan 25, 2016
README.md Updated documentation Jan 25, 2016
mancala.py Checking in project Jan 25, 2016

README.md

mancala-ai

A game playing agent that determines the next move in Mancala through greedy approach, minimax, and alpha beta pruning.

Mancala is a two-player game from Africa in which players moves stones around a board (shown above), trying to capture as many as possible. In the board above, player 1 owns the bottom row of stones and player 2 owns the top row. There are also two special pits on the board, called Mancalas, in which each player accumulates his or her captured stones (player 1's Mancala is on the right and player 2's Mancala is on the left).

On a player's turn, he or she chooses one of the pits on his or her side of the board (not the Mancala) and removes all of the stones from that pit. The player then places one stone in each pit, moving counterclockwise around the board, starting with the pit immediately next to the chosen pit, including his or her Mancala but NOT his or her opponents Mancala, until he or she has run out of stones. If the player's last stone ends in his or her own Mancala, the player gets another turn. If the player's last stone ends in an empty pit on his or her own side, the player captures all of the stones in the pit directly across the board from where the last stone was placed (the opponents stones are removed from the pit and placed in the player's Mancala) as well as the last stone placed (the one placed in the empty pit). The game ends when one player cannot move on his or her turn, at which time the other player captures all of the stones remaining on his or her side of the board. This was my final submission for CS 471 Computer Graphics at my Undergraduate College.

Please go through the instructions in the Problem Statement.