[computer-go] A new pairing system idea for CGOS
Don Dailey
drd at mit.edu
Thu Oct 5 18:27:51 PDT 2006
Thanks Christoph,
I'll take a look.
- Don
On Thu, 2006-10-05 at 16:30 -0700, Christoph Birk wrote:
> On Thu, 5 Oct 2006, Don Dailey wrote:
> > Yes, simulations are good. N may need to change with the number of
> > active players at scheduling time.
>
> Here are the results. The alorithm works like this:
> 1) take highest ranking (remaining) player
> 2) choose N candidates at random (N depends on #players remaining)
> 3) select highest ranking of the canditates
> 4) if un-paired players remain then goto 1)
>
> I tried 4 formulas for N: (NP=14, #players currently active).
> The tables show the probability of player at rank XX to be paired
> against player at rank YY, divided by the 'unbiased' probability 1/(N-1)
>
> N = 1+(NP-npaired-1)/2 (ie. half the players available)
> 2 3 4 5 6 7 8 9 10 11 12 13 14
> 01: 7.0 3.5 1.6 0.6 0.2 0.1 0.0 0.0 0.0 0.0 0.0 0.0 0.0
> 02: 1.4 2.2 1.4 0.7 0.3 0.1 0.0 0.0 0.0 0.0 0.0 0.0
> 03: 3.9 2.1 1.2 0.6 0.2 0.1 0.0 0.0 0.0 0.0 0.0
> 04: 1.2 2.0 1.3 0.6 0.2 0.0 0.0 0.0 0.0 0.0
> 05: 3.8 2.0 1.2 0.5 0.2 0.0 0.0 0.0 0.0
> 06: 1.1 2.0 1.3 0.6 0.2 0.0 0.0 0.0
> 07: 3.9 2.1 1.1 0.5 0.1 0.0 0.0
> 08: 0.9 2.1 1.4 0.5 0.0 0.0
> 09: 4.3 2.2 1.1 0.2 0.0
> 10: 0.7 2.4 1.6 0.0
> 11: 5.0 2.5 0.4
> 12: 0.0 3.9
> 13: 8.7
>
> N=1+(NP-npaired-1)/5 i (ie. 20% of the players available)
> 2 3 4 5 6 7 8 9 10 11 12 13 14
> 01: 3.0 2.5 2.0 1.6 1.3 1.0 0.7 0.5 0.3 0.1 0.0 0.0 0.0
> 02: 2.0 1.9 1.7 1.4 1.1 0.8 0.6 0.4 0.2 0.1 0.0 0.0
> 03: 1.4 1.3 1.2 1.1 1.0 0.8 0.7 0.5 0.3 0.2 0.0
> 04: 1.1 1.1 1.1 1.1 1.0 0.9 0.7 0.5 0.3 0.0
> 05: 1.2 1.2 1.1 1.1 1.0 0.8 0.6 0.3 0.0
> 06: 1.2 1.2 1.2 1.1 1.0 0.7 0.4 0.0
> 07: 1.2 1.2 1.2 1.1 0.9 0.6 0.2
> 08: 1.2 1.2 1.1 1.0 0.8 0.6
> 09: 1.1 1.0 1.0 1.1 1.3
> 10: 0.8 1.1 1.5 1.9
> 11: 1.4 1.9 2.4
> 12: 2.4 3.0
> 13: 3.6
>
> N=1+sqrt(NP-npaired-2)
> 2 3 4 5 6 7 8 9 10 11 12 13 14
> 01: 4.0 3.0 2.2 1.5 1.0 0.6 0.4 0.2 0.1 0.0 0.0 0.0 0.0
> 02: 2.2 2.0 1.7 1.3 0.9 0.5 0.3 0.1 0.0 0.0 0.0 0.0
> 03: 1.9 1.6 1.4 1.1 0.8 0.5 0.3 0.1 0.0 0.0 0.0
> 04: 1.3 1.4 1.3 1.1 0.9 0.5 0.3 0.1 0.0 0.0
> 05: 1.6 1.5 1.3 1.1 0.8 0.4 0.1 0.0 0.0
> 06: 1.5 1.6 1.4 1.1 0.6 0.2 0.0 0.0
> 07: 1.8 1.6 1.4 1.0 0.4 0.0 0.0
> 08: 1.5 1.9 1.3 0.7 0.1 0.0
> 09: 2.5 1.5 1.1 0.6 0.0
> 10: 0.7 2.2 1.4 0.1
> 11: 4.4 2.2 0.5
> 12: 0.0 3.7
> 13: 8.7
>
> N=1 (fixed, just for verification :-)
> 2 3 4 5 6 7 8 9 10 11 12 13 14
> 01: 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0
> 02: 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0
> 03: 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0
> 04: 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0
> 05: 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0
> 06: 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0
> 07: 1.0 1.0 1.0 1.0 1.0 1.0 1.0
> 08: 1.0 1.0 1.0 1.0 1.0 1.0
> 09: 1.0 1.0 1.0 1.0 1.0
> 10: 1.0 1.0 1.0 1.0
> 11: 1.0 1.0 1.0
> 12: 1.0 1.0
> 13: 1.0
>
> Don: I appended the (C-) program for your own experiments.
>
> Christoph
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