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AI-Go-Player_game

description:

an artificial Go player, that can play games against a human opponent. Go is an abstract strategy board game for two players, in which the aim is to surround more territory than the opponent. The game was invented in China more than 2,500 years ago and is believed to be the oldest board game continuously played to the present day. The playing pieces are called stones. One player uses the white stones and the other, black. The players take turns placing the stones on the vacant intersections ("points") of a board. Once placed on the board, stones may not be moved, but stones are removed from the board if "captured". Capture happens when a stone or group of stones is surrounded by opposing stones on all orthogonally-adjacent points. The game proceeds until neither player wishes to make another move. When a game concludes, the winner is determined by counting each player's surrounded territory along with captured stones and komi (points added to the score of the player with the white stones as compensation for playing second). The standard Go board has a 19×19 grid of lines, containing 361 points. Beginners often play on smaller 9×9 and 13×13 boards

sample image:

system details:

human versus agents

we implemented Two types of agents The first agent is the strongest. It was implemented using minimax alpha-beta search algorithms The second agent is less powerful than the first. It was implemented using heuristic search algorithms by random number.

Contact

This game was implemented with the contribution of my friend named Mohamed A.Shaker where we worked as a team together.

You can communicate by following e-mails If you have more questions about the project or to get the all src code :

1- [email protected]

2- [email protected]