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RE: [Bug-gnubg] New formula for estimating bearoff GWC
From: |
Ian Shaw |
Subject: |
RE: [Bug-gnubg] New formula for estimating bearoff GWC |
Date: |
Fri, 18 Jun 2004 13:59:49 +0100 |
> -----Original Message-----
> From: Joachim Matussek [mailto:address@hidden
> Sent: Wednesday, June 16, 2004 10:55 PM
> i want to introduce a new formula for calculating game winning chances
> for bearoff positions with up to 8 checkers. It gives an accurate
> estimate of the effective pipcount (EPC) and uses these results to
> calculate the GWC. Accuracy is +- 2 % GWC.
>
Hi Joachim,
I'm finding your article very stimulating. Thanks for putting in the hard work.
I'm still thinking about it, but there are a few things I'd like to discuss
already.
1 EPC Count
1.1 Why does the formula stop at 8 chequers? Is it because that's how far
you've tested, or does it break down later?
1.2 Your wastage per pip is linear. Douglas Zare uses a non-linear adjustment
for chequers on the ace-point 0, 1, 2, 2, 2 ..., and something similar for the
2 point. Have you tried any such method?
1.3 You make no allowances for gaps. This seems a likely source of inaccuracy.
Perhaps Chuck Bower's of a "useless gap" might be useful.
1.4 You penalise stacks equally, irrespective of their position. This seems
unnatural. With only 8 chequers and a stack, you are likely to have gaps
elsewhere, so perhaps this ties in with the previous point.
1.5 Have you any idea which type of positions give the largest error? . Do they
err in a particular direction? Nearly 10% are off by a pip or more, and I worry
that they may be the less trivial positions.
2 EPC to GWC
2.1 Is this part of your article only concerned with 8 chequer positions? I'm
assuming not.
2.2 Your table of %/pip is a great idea. I was planning on constructing such a
table myself (I don't have the tools to extract from the database so I was
planning on just using some hand-selected examples).
2.3 How many samples were taken for each epc?
2.4 As I understand it, you have taken examples with a 1 epc difference between
the players. I believe that the %/pip is not linear as the pip difference
changes. I believe the %/pip differs between an even race and a close
take/pass. (I don't know the direction; this is something I'm planning to look
at.) I also believe the %/pip tails off as you move further into pass territory.
I would be extremely interested in a table with samples at a 4 pip deficit
(i.e. even race), even pips (some advantage to roller), borderline take/pass,
and larger pass (say 5 pips).
2.5 The 0.5% and 1% adjustments for pip-roll and roll-roll positions are very
exciting because they are so simple to remember and use. How confident are you
with these.
Regards
Ian Shaw