A capturing move has a potential nakade if the string that was removed is among 
a limited set of possibilities. Probably Alpha Go has a 13-point bounding 
region (e.g., the 13-point star) that it uses as a positional index, and 
therefore a 8192-sized pattern set will identify all potential nakade.

It is also easy and inexpensive to identify nakade by if/the/else rules. Very 
few moves in a Go game are captures, and only captures of up to 9 stones can be 
nakade. The captured stones must also fit in a 3x3 bounding box, so code can 
rapidly eliminate non-nakade situations.

The point is that using much less than 1% of your CPU time, you can identify 
potential nakade moves. And since you reach this stage very rarely, you can 
invest a lot of time trying to do precise analysis. In Pebbles, I concluded 
that it was worthwhile to also test that the surrounding strings likely did not 
have another potential eye. That is a pretty expensive calculation, but the 
code path was executed only when it was critical to success.

Nakade are enormously valuable because they are cheap to calculate and a 
playout would otherwise have close to 0% chance of following the right path.
 
-----Original Message-----
From: terry mcintyre via Computer-go <computer-go@computer-go.org>
To: computer-go <computer-go@computer-go.org>
Sent: Mon, Jan 23, 2017 1:14 pm
Subject: Re: [Computer-go] AlphaGo rollout nakade patterns?


I speculate: nakade involves creating a shape (such as three in a row or a 
bulky five) such that, if captured, it would only form one eye, given the 
proper placement. I can imagine a set of patterns which enumerate the 
possibilities. Some examples exist, however, which are quite complex. 


Sent from Yahoo Mail for iPad


On Monday, January 23, 2017, 11:45 AM, Roel van Engelen <ich.bun...@gmail.com> 
wrote:

I am trying to re-create the fast rollout policy as described by deepMind but 
got stuck on the nakade patterns:
"Nakade, # of patterns 8192: Move matches a nakade pattern at captured stone"

the "at captured stone" confuses me, my first thought is: "this is only 
computed if stones have been captured recently" but 
i don't think that is correct. how should i read it?


since they say "# of patterns 8192" i imagine they found some way to hash them 
just like the 3x3 and 12point diamond shapes but so far
i have not found a way to do so. I found that other engines use heuristics to 
find nakade patterns so my question is does AlphaGo use patterns and does 
somebody know how this works?


Thanks!
Roel

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