Kirby wrote:I've been reading about learning, and one method (listed partially below) is to:
1.) deconstruct a learning topic into small learnable units
2.) identify the ~20% of these units which can be learned to achieve ~80% benefit (i.e. the pareto principle)
I've been wondering to myself whether this type of learning could apply to go, and was curious to hear your thoughts. Aligned with the two questions above:
1.) do you think that go can be deconstructed into small learnable units? what do you think these units might be?
2.) do you think that pareto's principle applies? what "units" in go give you the biggest bang for your buck?
I have a couple of thoughts of my own, but was curious to see what L19-ers had to say

Mainly to second Ed Lee's reply.
Go has already been deconstructed into learnable units. Not entirely, OC. Something like Pareto's principle applies. As a dan player, you have already learned 20%. Sorry.
What units give the biggest bang for the buck?
Those that have a name. Proverbs. (Real proverbs, not those made up by kyu players.)
I think that small in this context does not mean small scale, although small scale units in go are powerful, such as the concepts of snapback, ladder, and net. The trouble with small scale units in go is that they do not usually affect a lot of points. Small scale life and death problems are an exception.
The trouble with large scale units in go is that they are not very unitary. They are fuzzy, and have exceptions. Some units, such as thickness and kikashi, are not so easy to learn, but that is the counsel of perfection. They are not difficult to learn imperfectly.

Gradus ad parnassum.
It is plain that much of the strength of AlphaGo and other strong AI programs comes from learning on a large scale. As a result, humans can point to small scale "errors" in their play. Some claim that those are not really errors, which is why I put errors in quotes. And surely that is true in many cases. We all know that it may be right to take a small scale loss to make a large scale gain. But surely in some cases they actually are errors, but small errors.
Go knowledge is quite substantial, but, IMO, it has not been very well systematized. The low hanging fruit (the "20%") has been, and is fairly readily available, even in English. The accumulation of go knowledge has been more folkloric than scientific, but there is a good bit of it, nonetheless. It is perhaps more error prone than scientific knowledge, but it is still worth knowing, and criticizing. Progress in go knowledge is dialectical, a clash of ideas.
As for doing one's own deconstruction, IMX, it is easiest to do so on a small scale. You can get large scale ideas, but who knows how effective they are. On the small scale you can prove things.
