[Computer-go] semeai example of winning rate

[Stuart A. Yeates]

On Wed, Jan 19, 2011 at 6:41 AM, Brian Sheppard <sheppardco at aol.com> wrote:
> Seriously, whenever two bots play they will drift into a situation that they
> disagree on. The loser is guaranteed to learn something.
>
> Pebbles logs two positions from every loss:
>
>        1) The position in which it forecast the highest win rate for the
> selected move.
>        2) The last time it forecast a win rate > 50% for the selected move.
>
> Sometimes these positions occur in the opening. In this case, Pebbles left
> book and found that it was losing and never changed its opinion. Such cases
> are not very interesting.
>
> But often Pebbles thinks it will win 80% or more, yet still loses.

That's probably a great way to find positions that are interesting for
the development Pebbles. Variations that generate more generally
interesting methods include:

* Analysing dan-level games using those same metrics
* Using multiple bots to analyse dan-level games and using those
positions which are found to be interesting by multiple bots (also
works with wildly different versions of the same bot)

cheers
stuart