[computer-go] CGOS Monte Carlo Simulations

[Christoph Birk]

On Thu, 7 Sep 2006, Don Dailey wrote:
> A few days ago I posted a Generic Monte Carlo program on CGOS in order
> to get a baseline on what to expect from a very simple Monte Carlo
> players.

I posted a similar program (myCtest) to see if it gains a similar
ELO rating. The first version had a couple of bugs but instead
of running the fixed version under a different name I just kept
the old name ...
The problem now is that CGOS' rating algorithm is not appropriate
to handle players with improving strength.
The K-factor appears to decrease monotonically (fairly quickly)
to a low value (4?).
How about making it "dynamical" by allowing the K-factor to increase
when  a group of unlikely game results show up; e.g. a program wins more 
than it's "fair" share of games against stronger opponents.

Thanks for CGOS, it's a great resource!
Christoph