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If you are wondering about intuition, google's deep mind and a number of other companies have applied deep convolutional neural networks for playing go. That is
by simonhughes22 11y ago
If you are wondering about intuition, google's deep mind and a number of other companies have applied deep convolutional neural networks for playing go. That is probably the closest to human intuition. Although I am not sure how you play a game on pure intuition, but I'm not a good Go player so I shouldn't comment.
- deleted 11y ago[deleted]
- CaiGengYang 11y agoHuman beings (us) currently use a combination of pure calculation and intuition to play Go. Pure calculation is useful in small battles and corners where you can actually calculate the outcome of battles to pretty much 100% accuracy. However , there are still large chunks of the game where it is difficult for the human brain (even seasoned professional go players) to process huge sequences with similar levels of precision, for example early to mid game areas when both opponents are vying for influence and positional advantage. That's when the experience and intuition comes in. Professional go players are much much better at this due to years of experience playing top-notch games against other professional go players. The interesting question for the software developer and Go AI researcher is to attempt to use technology to capture a top-notch professional Go player's "intuition " in such situations.