It seems better to start a new thread for each part so that latecomers can still contribute to earlier threads.
It is still early days on this exciting journey, but we have seen some sights already. We saw that it is possible to partition up a typical endgame position into resolved areas and unresolved areas. The resolved areas can be counted up fairly easily with enough fingers and toes. The unresolved areas are trickier. There are two things to consider there. One is how to mark out the edges of the area. Although they look fuzzy, they are not and a pretty simple method is used for the marking out.
The other issue is how to count these unresolved areas.
With the resolved areas we just made a count for each side: Black 83 and a bit, White 80. We can compare Black to White and say he has more - relative counting. We could subtract one score from the other and get a margin of victory (83-80 = 3) - absolute counting. For these areas it doesn't seem to matter which method of counting is used, but for the unresolved areas O Meien (OM) has chosen absolute counting, as per the title of his book. With luck, his reasons will become apparent later.
His method starts with learning to count the unresolved areas, and we shall be continuing with that in a moment, but two things have emerged so far that need, I think, some emphasis.
One is that miai and averages have been mentioned by other readers. This extra explanation is good, useful and intended, but these words are NOT part of OM's method, even if the ideas are implicit. Do keep that in mind.
The other is a bit of fuzziness about terminology of a different kind. When counting the unresolved areas, OM used the phrase "Black has a territory of 2 points". Not quite right, but that's a Japanese language issue we won't go into. Bill used a phrase saying that we "estimate Black's territory as 2 points". Not quite right either, for some of us, I suggest. It's quite possibly the correct usage in mathematics, but in ordinary speech "estimate" suggests vagueness (cf. the well known issue of estimate over quotation when dealing with tradesmen). OM is emphatic that his numbers are not an estimate, in that sense, but a precise calculation. However, we do need a word to remind us we are not dealing with actual or resolved territory, and this word seems as good as any so long as we remember the caveat.
We resume again with repetition of Diagram 4. Recall that so far (our Part 1) OM has treated simple unresolved corner positions where, depending on who moves first, (1) Black could make some secure territory (B) or none and White likewise makes some (W) or none, and that we count, or rather "estimate", this from Black's point of view, by OM's absolute counting method, as (B + W) ÷ 2. W here will always be 0 or a minus figure because we are looking at everything from Black's point of view. The division by two is to represent the fact that both players have a 50-50 chance of making the play.
Some of us are actually taking the applicability of this method on faith. It is also used in Diagram 4, which relates to the type of position with dangly bits.
- Click Here To Show Diagram Code
[go]$$ Diagram 4, repeated - Page 27
$$ . . . . . . . . . . |
$$ , . . . . . , . . . |
$$ . . . . . . . O . . |
$$ . . . . . . . . . . |
$$ . . . . . . . O . . |
$$ . . . . . . . . . . |
$$ . . . . . . . O O O |
$$ , . . . . . , . X a |
$$ . . . . X . X . X O |
$$ . . . . . . . . X b |
$$ . . . . . . . . X O |
$$ --------------------[/go]
Black can play at 'a' and get a secure territory in the extreme corner of 5 points, and White will have 0. White can also play at 'a'. He still gets 0, but he doesn't deprive Black of 5 points in this case, because a play at 'b' remains for both players. Here is how OM handles this: simply take Black's gains in two parts and add them together, but make some allowance for the fact that the play at 'b' is less likely to happen. With 'a' he makes 5 points but this figure is actual territory and has not yet been processed into an absolute value. But if White gets to play at 'a' instead, we have another position, where 'b' is the key move, and we count that
differently: we take the "processed" value (obtained as in Part 1) of 1 point by the absolute counting method. Black's territory is therefore, for the purposes of the method is counted as 5 + 1 and not 5 + 2. White's territory can be counted in the same way but here it becomes 0 + 0.
For people like me, it is easy enough to understand that the second figure (1, relating to 'b') has to be treated differently from the 'a' figure, to cover the fact that it is lower down the food chain and less likely to be used. But the reason for treating it in this particular way is far from obvious - I'm still making a leap of faith. OM admits it is fiddly but claims you get used to it.
Anyway, once we get this 5+1 for B, the operation proceeds as before, i.e. (B + W) ÷ 2, which is here ((5+1) - (0+0)) ÷ 2, so that the position of Diagram 4 is "estimated" as being worth 3 points for Black by absolute counting.
This method would apply also to the case where there is a third or a fourth dangly bit, but mercifully OM treats these as dingleberries and ignores them, at least for the time being. But the case of an 'a' and a 'b' move where White also makes some territory merits a look (the same distinction as between the two examples in Part 1), and one OM example is as follows.
- Click Here To Show Diagram Code
[go]$$ Diagram 5 - Page 30
$$ . . . . . . . . . . |
$$ , . . . . . , . . . |
$$ . . . . . . . O . . |
$$ . . . . . . . . . . |
$$ . . . . . . . . O . |
$$ . . . . . . . O . . |
$$ . . . . . . X X O O |
$$ , . . . . . , . X a |
$$ . . . . . . . X X O |
$$ . . . . . . . X O O |
$$ . . . . . . . X b X |
$$ --------------------[/go]
If Black gets to play 'a' in Diagram 5, he makes a secure territory of 7 points. If White gets to 'a' first, he gets no territory yet, but a move at 'b' remains. If we process that position relating to 'b' first, by absolute counting we estimate it from Black's point of view as worth -1, that is Black gets 0 but White gets 1 (i.e. -1 from Black's point of view).
Using that figure, we then process the 'a' position again as B + W ÷ 2, or (7+0) + (0+(-1)) ÷ 2. That is, Diagram 4 is also estimated as worth 3 to Black.
I will break off here as this portion does not seem easy to me, and a better explanation can almost certainly be offered by someone. As a matter of fact, the equations with lots of brackets above are my own attempt to understand what is going on. OM uses equations but in the last example he simpy has {7 +(-1)} ÷ 2. I have expanded it for my own benefit. I hope I haven't botched it.
Fortunately, this is as tricky as the counting bit gets. If we can get over this hump, we can coast for a while. The next section covers the case where the estimate ends in a half point, but that's a trivial step forward. There is then an easy set of examples where OM stresses that positions counted by his method and positions with already secure territory are equivalent. The second part of Chapter 1 of his book is devoted to how to count territory in resolved areas - not too hard actually, though you need to keep on your toes. That will take us to a third of the way through the book. Chapter 2 next is on "the value of a move". It applies Chapter 1 but puts sente and gote into the mix. Fun but tricky, and we'll need Bill on hand.
Chapter 3 is an extension of Chapter 2, adding kos and trades. Chapters 2 and 3 are maybe the toughest but are full of interest. This is real go.
Chapter 4 introduces an election night atmosphere. This is where you learn to declare who's first past the post before the vote count is even complete. Chapter 5 is very similar, but is a set of examples from actual games showing how all the elements are put together at strategic level.