I've just thought of a way to get the right komi in the game of go. Let 2 programs that plays randomly play each other millions of times, for different values of komi. A game should take less than 1 second I guess since there's basically almost no computing process for each move. Then "make statistics" out of those games. For example, for what komi value is the higher % of jigo reached? Is this realistically doable? Would that be accurate? For those who don't know what the komi and jigo are: Komi is the points the player that plays white gets at start to compensate that black plays first. The "right" komi should be the komi that leads to a draw (called jigo) if both players play a perfect game. To give you an idea, komi is generally taken as 6.5 in KGS go server. They don't take an integer because they want to avoid draws.