* Develop a new technique that uses an entropy parameter to control Go program strength without playing with a similar similar style. Offer up to 40 different ratings, from the beginner to super-human experts. 
* Develop the first-ever system that can identify Go players＇ strengths. 
* Develop a multi-labelled value network to improve strengthsupport the handicap games.

"Develop a "life-long Computer Go learning system" by a new method using an entropy parameter.
* The first-ever system that can offer up to 40 different ratings from the beginner (about 8 kyu) to super-human experts (professional 13 dan).
* The first-ever system that can identify players＇ strengths from game playing."

"* Can be used to train Go professionals, e.g., the national team, to promote the national Go team level. 
* Can be used in Go local communitiesassociations to serve as a tutuoring system for amateur players. 
* Can be used in large Go online playing websites, that can use to train player from beginner to professionals."