Once again, the answer is "No, computers can't play like people ... yet.".
The winning bot was ICE-CIG2011 by
the team from Ritsumeikan University, Japan. The best judge was Mike Preuss, from TU Dortmund University, Germany (Mike was also best judge in 2009).
Two teams were very close with both achieving record humanness scores. The gap with epic bots has all but closed.
More data and game recordings will be available from this page soon.
Humanness results
Most human bots
| bot name |
humanness % |
| ICE-CIG2011 |
37.5000 % |
| NeuroBot |
35.7143 % |
| Conscious-Robots |
26.6667 % |
| UT^2 |
21.4286 % |
|
Most human humans
| player name |
humanness % |
| KyeongJong Lee |
66.6667 % |
| Daniel Beard |
60.0000 % |
| HyunSoo Park |
50.0000 % |
| Mike Preuss |
50.0000 % |
| Geoffrey Hingston |
20.0000 % |
|
Most human epic bots
| skill level |
humanness % |
| 1 |
50.0000 % |
| 2 |
50.0000 % |
| 5 |
41.6667 % |
| 4 |
33.3333 % |
| 3 |
33.3333 % |
| all |
40.0000 % |
|
Judging results
Best bot judges
| bot name |
accuracy % |
| ICE-CIG2011 |
50.0000 % |
| Conscious-Robots |
50.0000 % |
| NeuroBot |
42.8571 % |
| UT^2 |
41.6667 % |
|
Best human judges
| human name |
accuracy % |
| Mike Preuss |
66.6667 % |
| HyunSoo Park |
66.6667 % |
| KyeongJong Lee |
58.8235 % |
| Daniel Beard |
52.6316 % |
| Geoffrey Hingston |
47.6190 % |
|