Hello, During the last week (February 10 - 13, 2009) there were several exhibition games between program MoGo and some professional go players from Taiwan (Jun-Xun Zhou 9p; Li-Chen Chien (12 years old) 1p; Shih Chin 2p).
First of all congratulations tothe MoGo team for winning one game at handicap 7 (against the 9p) and one more game at handicap 6 (against the 1p)! Each day, two pro games on 19x19 board were played. The results for MoGo were (given here exactly in the order in which the games were played). Feb 10: Win Loss (against 9p; handicap 7) Feb 11: Win Loss (against 1p; handicap 6) Feb 12: Loss Loss (against 2p; handicap 7) Feb 13: Loss Loss (against 9p; handicap 7) >From these data I claim evidence that humans are learning quickly against MoGo: The human with 4 games (Mr. 9p) lost only his very first game. The 1p boy lost only his first game. And the human who had to play on day three (so, just knowing what had happened to the two colleagues on the first two days) won "all" of his games. For those who like evidence by probabilities: * Given a 3:1 score, a random order (which should be implied, if no learning at all were there) of the results means prob 1/4 that the first game was the only loss. * Given a 1:1 score, a random order ... means prob 1/2 that the first game ... * Given three different players who play against MoGo one after the other, "no learning" would mean that the only 100%-scorer would sit in position 3 with prob 1/3. Multiplication of the three terms gives 1/4 * 1/2 * 1/3 = 1/24 < 5 %. When you follow this line of thought, the results of Tainan show that the computer go community will also now (and likely in future, too) have to fight with the problem/phaenomenon of quick human learning (as has been the case already for several decades). Ingo. PS: sgf of the Tainan games can be found in the KGS archive for player/account "mogo". http://www.gokgs.com/gameArchives.jsp?user=mogo -- Psssst! Schon vom neuen GMX MultiMessenger gehört? Der kann`s mit allen: http://www.gmx.net/de/go/multimessenger01 _______________________________________________ computer-go mailing list computer-go@computer-go.org http://www.computer-go.org/mailman/listinfo/computer-go/
