Human-like Bots at WCCI 2012
A Human-like bots competition was held at the IEEE Congress on Evolutionary Computation in Brisbane. The results are below.
The teams
| Team |
Affiliation |
Members |
| ICE-WCCI2012 |
Ritsumeikan University, Japan |
| Seiji Murakami |
| Takumi Sato |
| Naoki Kusumoto |
| Kenta Tsuji |
| Takahiro Yamamoto |
| Ruck Thawonmas |
|
| UT^2 |
University of Texas at Austin |
| Jacob Schrum |
| Igor Karpov |
| Risto Miikkulainen |
|
| AMISBot |
Charles University, Prague |
| Jan Dufek |
| David Holañ |
| Rudolf Kadlec |
| Jakub Gemrot |
| Michal Bída |
|
Humanness results
Most human bots
| bot name |
humanness % |
| UT^2 |
21.0526 % |
| AMISBot |
17.6471 % |
| ICE-WCCI2012 |
7.6923 % |
|
Most human humans
| player name |
humanness % |
| Craig Speelman |
40.0000 % |
| Chris Holme |
21.4286 % |
| John Weise |
11.1111 % |
| Samaneh Rastegari |
9.0909 % |
|
Most human epic bots
| skill level |
humanness % |
| 1 |
33.3333 % |
| 4 |
28.5714 % |
| 2 |
11.1111 % |
| 3 |
0.0000 % |
|
Judging results
Best bot judges
| bot name |
accuracy % |
| UT^2 |
53.8462 % |
| HumanLikeBot |
51.2195 % |
| ICE-WCCI2012 |
40.0000 % |
|
Best human judges
| human name |
accuracy % |
| John Weise |
63.4146 % |
| Chris Holme |
61.9048 % |
| Samaneh Rastegari |
56.8182 % |
| Craig Speelman |
50.0000 % |
|
Human-like Bots at CEC 2011
A Human-like bots competition was held at the IEEE Congress on Evolutionary Computation in New Orleans. The results are below.
The teams
| Team |
Affiliation |
Members |
| Conscious Robots |
Carlos III University of Madrid |
| Raul Arrabales |
| Jorge Muñoz |
|
| ICE-CEC2011 |
Ritsumeikan University, Japan |
| Seiji Murakami |
| Takumi Sato |
| Akihiro Kojima |
| Daichi Hirono |
| Naoki Kusumoto |
| Ruck Thawonmas |
|
| UT^2 |
University of Texas at Austin |
| Jackob Schrum |
| Igor Karpov |
| Risto Miikkulainen |
|
| Knightbot |
University of Central Florida |
| Gita Sukthankar |
| Bulent Tastan |
|
Humanness results
Most human bots
| bot name |
humanness % |
| Conscious-Robots |
30.0000 % |
| ICE-CEC2011 |
26.3158 % |
| UT^2 |
10.5263 % |
| Knightbot |
10.0000 % |
|
Most human humans
| player name |
humanness % |
| Martin Masek |
88.2353 % |
| Daniel Beard |
84.6154 % |
| Philip Hingston |
68.7500 % |
| Geoff Hingston |
52.9412 % |
|
Judging results
Best bot judges
| bot name |
accuracy % |
| UT^2 |
91.6667 % |
| Conscious-Robots |
50.0000 % |
| ICE-CEC2011 |
38.4615 % |
|
Best human judges
| human name |
accuracy % |
| Daniel Beard |
84.2105 % |
| Geoff Hingston |
84.2105 % |
| Martin Masek |
68.0851 % |
| Philip Hingston |
56.0000 % |
|
