[Computer-go] semeai example of winning rate

[Brian Sheppard]

> How difficult would it be to design a program that generates such
"bot-difficult semeais"

We already have one: it is called CGOS. :-)

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.

By playing overnight, Pebbles can create many more examples than I can
analyze in one day.

Brian