2008 BotPrize contest
The first BotPrize contest was held in Perth, on 17 December 2008, as part of the 2008 IEEE Symposium on Computational Intelligence and Games. The aim of the contest was to see if a computer game playing bot could convince a panel of expert judges that it was actually a human player.
The Judging Panel
- David Fogel - President of IEEE Computational Intelligence Society
- Robert (RJ) Spencer - COO of Interzone Entertainment
- Penny Sweetser - senior game designer at 2K Australia and an AI expert
- Cam Atkinson - a l33t game player
- John Wiese - senior project manager in Special Operations Command Support Systems at Thales Australia
The Humans
- Andrew Smith
- Roderick Baker
- Byron Pogson
- Keith Johnson
- Seb Davidson
The Teams
Team | Affiliation | Members |
---|---|---|
Amis | Charles University in Prague |
Michal Stolba
Jakub Gemrot
Juraj Simlovic
|
ICE-UT@RITS | Ritsumeikan University, Japan |
Daichi Hirono
Yuna Dei
Ruck Thawonmas
|
Intelligent Systems Centre | Nanyang Technological University |
Budhitama Subagdja
Ah Hwee Tan
Di Wang
|
Underdog | University of Western Australia |
Oren Nachman
|
University of Texas at Austin | University of Texas at Austin |
Jacob Schrum
Igor Karpov
Risto Miikulainen
|
* The team of Jon Wright, David Nichol and Russel Thom from Glasgow Caledonian University made the finals but was unable to attend.
Results
The prize winners were:
- Best bot: AMIS (Michal Stolba, Jakub Gemrot, Juraj Simlovic)
- Best human: Roderick Baker
- Best Judge: John Wiese
Here is a summary of the results in the form of a table of bots and human confederates, sorted by human-ness, as rated by the judges.
Identity | Mean rating | #Judges convinced |
---|---|---|
Byron (human) | 4 | 5 |
Andrew (human) | 3.8 | 4 |
Roderick (human) | 3.8 | 4 |
Keith (human) | 3 | 2 |
Seb (human) | 2.6 | 2 |
AMIS (bot) | 2.4 | 2 |
ICE (bot) | 2.2 | 1 |
ISC (bot) | 2 | 2 |
UTexas (bot) | 0.8 | 0 |
Underdog (bot) | 0.4 | 0 |
All the humans were rated as more human than all the bots.
Complete round by round results can be found here.
The table below contains videos made from the games in the final, from the judge's viewpoint. Within each video, all players appear identical, but can be distinguished by name (e.g. Player123), which appears when the player is targeted by the judge. The table entries give the player names used in each game. You might like to try your hand at picking the bots! Can you do better than the judges?
Each video is between 30MB and 50MB. Warning: these videos depict simulated violence.
Judge 1 | Judge 2 | Judge 3 | Judge 4 | Judge 5 | |
---|---|---|---|---|---|
Round 1 |
Player144=Judge
Player443=Human
Player932=Bot
|
Player502=Judge
Player212=Human
Player773=Bot
|
Player830=Judge
Player136=Human
Player415=Bot
|
Player875=Judge
Player433=Human
Player441=Bot
|
Player388=Judge
Player471=Human
Player639=Bot
|
Round 2 |
Player787=Judge
Player859=Human
Player470=Bot
|
Player752=Judge
Player739=Human
Player148=Bot
|
Player952=Judge
Player760=Human
Player884=Bot
|
Player173=Judge
Player408=Human
Player389=Bot
|
Player640=Judge
Player961=Human
Player178=Bot
|
Round 3 |
Player673=Judge
Player367=Human
Player833=Bot
|
Player711=Judge
Player431=Human
Player189=Bot
|
Player231=Judge
Player247=Human
Player703=Bot
|
Player845=Judge
Player525=Human
Player352=Bot
|
Player568=Judge
Player275=Human
Player794=Bot
|
Round 4 |
Player325=Judge
Player959=Human
Player228=Bot
|
Player165=Judge
Player707=Human
Player818=Bot
|
Player720=Judge
Player160=Human
Player822=Bot
|
Player475=Judge
Player859=Human
Player739=Bot
|
Player467=Judge
Player755=Human
Player886=Bot
|
Round 5 |
Player261=Judge
Player357=Human
Player217=Bot
|
Player237=Judge
Player980=Human
Player157=Bot
|
Player635=Judge
Player955=Human
Player494=Bot
|
Player373=Judge
Player642=Human
Player189=Bot
|
Player683=Judge
Player178=Human
Player578=Bot
|