IEEE Systems, Man and Cybernetics Magazine - January 2020 - 25

During the event, we interviewed the invited Go players
about their thoughts on human-smart machine co-learning. Chou (9p) stated:
Humans will need to be more humble to learn with
the teacher robot in the future. The Pair Go model of
Game 4-1 is a good way for humans' learning, and it
will make future playing more interesting and more
helpful for humans.
Three professional Go players from Japan also added their
thoughts. Lee (8p) remarked:
During the game, the robot's suggestions were helpful
for me to turn a poor situation into a favorable one
because the computer Go program's computational
speed is several times more powerful than the human
Go player's speed. Hopefully, I will perform better in
the future human and machine co-learning games.
On his first time playing with the robot, Ohashi (6p)
commented:
I was very happy to play with the robot for the first
time. However, the robot's prediction was very serious,

Game Results
Our developed OGD cloud platform with Facebook AI
Research, open-source ELF OpenGo [3], was first utilized
in a special event during IEEE SMC 2018. All these games
were played using a single graphics processing unit that
performed moves every 10 s or 2,048 simulations, Chinese
rules with 7.5 komi (bonus points), and unlimited time
given to the human players to consider their moves. Nine
Go players with different skill rankings (1p being the lowest professional ranking and 9p being the highest professional ranking; 1d being the lowest amateur ranking and 7d
being the highest amateur ranking) were invited to join the
event in Taiwan and Japan. The players were Chun-Hsun
Chou (9p), Yi-Hsiu Lee (8p), Hirofumi Ohashi (6p), Kai-Hsin
Chang (5p), Maki Kaneko (1p), Yu-Lin Lin (7d), Shen-Su
Chang (6d), Yu-Hao Huang (2d), and Hideki Kato (1d). The
game results indicated that the human with a higher level
won all of the Pair Go games, and the robot with the ELF
OpenGo AI engine won all of the Team Go and Reference
Go games.

Reference Go
Pair Go

Pair Go

Pair Go

Pair Go
(a)

Pair Go
Pair Go
Reference Go
Reference Go

Pair Go

Pair Go
Pair Go
Team Go

Team Go
Team Go

(b)
Figure 1. The designed co-learning models: (a) on 4 October 2018 in Taiwan and (b) on 7-8 October 2018

in Japan.

Ja nu a r y 2020

IEEE SYSTEMS, MAN, & CYBERNETICS MAGAZINE

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IEEE Systems, Man and Cybernetics Magazine - January 2020

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