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Suppose, for example, that Black occupies three of these liberties in Diagram 5. The white stone would be in atari and Black would be able to capture it on his next move, that is with 1 in Diagram 6.
Black would then remove the white stone from the board and put it in his prisoner pile. The result of this capture is shown in Diagram 7.
At the edge of the board a stone has only three liberties. The white stone in Diagram 8 is on the edge of the board; that is on the first line.
If Black occupies two of these liberties, as in Diagram 10, the white stone would be in atari. Black captures this stone with 1 in Diagram The result of this capture is shown in Diagram A stone in the corner has only two liberties.
The white stone in Diagram 13 is on the point. If Black occupies one of these points, as in Diagram 15, the white stone would be in atari.
The result is shown in Diagram It is also possible to capture two or more stones if you occupy all their liberties. In Diagram 18, there are three positions in which two white stones are in atari.
Black captures these stones with 1 in Diagram The results are shown in Diagram Any number of stones making up any kind of shape can be captured if all their liberties are occupied.
In Diagram 21, there are four different positions. Black 1 captures twelve stones in the upper left, four stones in the lower left, three stones in the upper right and three stones in the lower right.
When you capture stones in a game, you put them in your prisoner pile. Then, at the end of the game, these captured stones are placed inside your opponent's territory.
Let's look at a game to see how this actually works. After Black plays 3 in Figure 7, White makes an invasion inside Black's sphere of influence with 4.
White 10 ataris the black stone at 7. Therefore, black connects at 11 in Figure 8, but White ataris again at The marked stone cannot be rescued, so Black has to sacrifice it.
He plays his own atari with 13 in Figure 9. White then captures with 14 and Black ataris two white stones with PLAY it safe!
Please enjoy our entertainment safely. DNNGalleryPro fa in youtube instagram. More games. More tools. More quality In One GO. This powerful technique is no longer constrained by the limits of human knowledge.
Instead, the computer program accumulated thousands of years of human knowledge during a period of just a few days and learned to play Go from the strongest player in the world, AlphaGo.
AlphaGo Zero quickly surpassed the performance of all previous versions and also discovered new knowledge, developing unconventional strategies and creative new moves, including those which beat the World Go Champions Lee Sedol and Ke Jie.
These creative moments give us confidence that AI can be used as a positive multiplier for human ingenuity. In late , we introduced AlphaZero, a single system that taught itself from scratch how to master the games of chess, shogi, and Go, beating a world-champion program in each case.
AlphaZero takes a totally different approach, replacing hand-crafted rules with a deep neural network and algorithms that knew nothing beyond the basic rules.
Its creative response and ability to master these three complex games, demonstrates that a single algorithm can learn how to discover new knowledge in a range of settings, and potentially, any perfect information game.
David Silver, Aja Huang, et al. Nature David Silver, Julian Schrittwieser, et al. David Silver, Thomas Hubert, et al.
Science Julian Schrittwieser, Ioannis Antonoglou, et al. Research AlphaGo. Along with calligraphy, music, and painting, Go was also one of the components of classical education for both men and women.
Nowadays there are millions of Go enthusiasts in Asia and throughout the world. Top players participate in professional leagues, and championship matches draw large television audiences.








ja, es kommt vor...
Bemerkenswert, das nГјtzliche StГјck
Ich bezweifle daran.