[Computer-go] Zen hardware problems
In the KGS March tournament Zen had hardware glitches. This reminds me to Hitech, a strong chess bot in the 1980's (by Hans Berliner and Murrwy Campbell). Berliner used the handbuilt machine still in the mid-90's, but it also from time to time had not-replicable bad terminations of searches, resulting in poor play. Berliner conjectured that that was a consequence of the worn-out hardware. Ingo. ___ Computer-go mailing list Computer-go@dvandva.org http://dvandva.org/cgi-bin/mailman/listinfo/computer-go
[Computer-go] Congratulations to CrazyStone!
Congratulations to CrazyStone, winner of the slow KGS bot tournament with 12 wins from 12 games! The runners-up had eight wins each, so it was a convincing win in this tournament with a particularly strong set of entrants. My report is at http://www.weddslist.com/kgs/past/S13.1/index.html I expect it contains at least as many errors as usual, so I will be pleased if you point these out to me. Nick -- Nick Wedd n...@maproom.co.uk ___ Computer-go mailing list Computer-go@dvandva.org http://dvandva.org/cgi-bin/mailman/listinfo/computer-go
Re: [Computer-go] Zen hardware problems
Hi, Finally, I found the problem is not hardware but softwareand fixed (hopefully) before final round (with Yamato). Since there was a hardware problem with the same symptoms caused by overclocking in the August SLOW bot tournament last year, I thought it's the same trouble. As the symptoms unchanged, however, with 20% slower clock, I had a doubt, checked my code and found a bug, which was added in, perhaps, last December. Hideki Ingo Alth\x8B\xC7er: 20130307115620.137...@gmx.net: In the KGS March tournament Zen had hardware glitches. This reminds me to Hitech, a strong chess bot in the 1980's (by Hans Berliner and Murrwy Campbell). Berliner used the handbuilt machine still in the mid-90's, but it also from time to time had not-replicable bad terminations of searches, resulting in poor play. Berliner conjectured that that was a consequence of the worn-out hardware. Ingo. ___ Computer-go mailing list Computer-go@dvandva.org http://dvandva.org/cgi-bin/mailman/listinfo/computer-go -- Hideki Kato mailto:hideki_ka...@ybb.ne.jp ___ Computer-go mailing list Computer-go@dvandva.org http://dvandva.org/cgi-bin/mailman/listinfo/computer-go
Re: [Computer-go] Congratulations to CrazyStone!
I'd like to say that the blunder moves in the tournament were caused by not hardware but my code (_ _). See my reply to Ingo for more. Those blunder moves follow (some are not bad). Round1 (vs Nomitan): moves 100 (O3), 122 (N4), 140 (O14). Round3 (vs Pashi): moves 73 (B4), 109 (F6), 213 (G13) and 227 (T9). Round4 (vs Orego): move 149 (B3). Round7 (vs Nomitan): move 17 (J2). Round9 (vs CrazyStone): moves 146 (F1), 156 (F19) and 244 (S4). Round10 (vs CrazyStone): moves 31 (D15) and 227 (C1). Before round12, I found and fixed an error. Correction: In the third paragraph of Result section: the opponent of CrazyStone is not Zen19S but fuego19. On the first paragraph of Result section: The move 192 is not a bluder but the best move for Zen where the winrate was 21% already. After blunder moves O3, N4 and O14, winrate dropped from 68% to 56%, 56% to 56% and 54% to 16%, respectively. Clearly the first was recoverable, the second was not actually a bluder and the third was fatal where N5 could let W O5 group live (M7 and P4 miai). Hideki Nick Wedd: 5138878a.4050...@maproom.co.uk: Congratulations to CrazyStone, winner of the slow KGS bot tournament with 12 wins from 12 games! The runners-up had eight wins each, so it was a convincing win in this tournament with a particularly strong set of entrants. My report is at http://www.weddslist.com/kgs/past/S13.1/index.html I expect it contains at least as many errors as usual, so I will be pleased if you point these out to me. Nick -- Hideki Kato mailto:hideki_ka...@ybb.ne.jp ___ Computer-go mailing list Computer-go@dvandva.org http://dvandva.org/cgi-bin/mailman/listinfo/computer-go
Re: [Computer-go] Congratulations to CrazyStone!
Hi! On Thu, Mar 07, 2013 at 12:26:50PM +, Nick Wedd wrote: My report is at http://www.weddslist.com/kgs/past/S13.1/index.html I expect it contains at least as many errors as usual, so I will be pleased if you point these out to me. Pachi was not running with 12 threads, but as specified in its info on 2x Opteron 6134 (15 threads) with 64GiB RAM. On Thu, Mar 07, 2013 at 01:13:52PM +, Aja Huang wrote: Thanks Nick for the report. Congratulations to CrazyStone! Congratulations from me too! There is a huge gap between CrazyStone and Pachi... In both of their matches, CrazyStone systematically wiped pachi out in the first joseki played on the board. :-) Now it seems to me that this is related to the way playouts are done and it will be difficult to improve with Mogo style (rule-based) playouts above certain strength, without using larger patterns and next move choice based on probability distribution. Currently, playing out a simple joseki in a sensible way in simulations will just never happen. This is a bit frustrating since all my attempts at successfully implementing probdist-based playouts have failed so far, but I guess I will just have to try again... My observation is that Nomitan has improved a lot. Also welcome back, pachi! Thank you. :-) I wish I was able to devote more time to Pachi, but I hope I will be able to persist with at least a daily 1-3 hours of Pachi care in the near future. -- Petr Pasky Baudis For every complex problem there is an answer that is clear, simple, and wrong. -- H. L. Mencken ___ Computer-go mailing list Computer-go@dvandva.org http://dvandva.org/cgi-bin/mailman/listinfo/computer-go
Re: [Computer-go] Congratulations to CrazyStone!
Now it seems to me that this is related to the way playouts are done and it will be difficult to improve with Mogo style (rule-based) playouts above certain strength, without using larger patterns and next move choice based on probability distribution. Currently, playing out a simple joseki in a sensible way in simulations will just never happen. This is a bit frustrating since all my attempts at successfully implementing probdist-based playouts have failed so far, but I guess I will just have to try again... To implement softmax, you can refer to my thesis where I have described the framework of the move generator for the playout. Detecting forbidden moves and replacing useless moves by better alternatives are very useful. There you can gain a lot by applying much Go-knowledge. Two good candidate algorithms for training the feature weights are MM and SB(Simulation Balancing). I tried hard but failed to measure any improvement from SB gammas (trained on 9x9) on 19x19. You can use CLOP to tune the MM gammas which are far from optimal according to our experience. Also, my regression test of seki and LD that pachi has participated could be helpful to improve program's tactical strength. In my opinion, that is the most crucial factor to reach high-dan level. Cheers, Aja ___ Computer-go mailing list Computer-go@dvandva.org http://dvandva.org/cgi-bin/mailman/listinfo/computer-go
