RobertJasiek wrote:
... combine a) exploration of variations with b) decision-making and c) information gathering. So the purpose of any artificial separation by terminology remains unclear.
...
Reading for the sake of determining a problem's correct solution(s) involves (a), (b) and (c) even if one's terminology tries to pretend (b) and (c) would be separate. Except for the most trivial problems, reading does not determine a correct solution without incorporating (b) and (c).
Every problem becomes the more "trivial" the more we reach the final stages of the sequences. However, the more complicated a problem is, the more onion skins "hide" the relevant hints at the very beginning.
Once we have "really solved" a problem, we know it's entire variation tree. As I already wrote, decisions at all the nodes are quite trivial then: "Choose the branch that enforces the best fulfillment of the problem's aim."
But quite apparently, this is not what you do have in mind with your "reading theory". It seems to me that, with your "reading theory", you want to accomplish the following:
"In a state of incomplete information, come the solution as close as possible with the least possible effort."
As a matter of course, in order to accomplish this feat, you will have to gather information -- at every single node of a "really solved" problem -- about the characteristics of the position reached, as well as about the initial moves of the following branches.
You will have to analyse these information, in order to extract some kind of "knowledge", which might have helped you before (or in similar problems / situations thereafter) to decide on the move(s) that you want to evaluate in the first instance (the "most interesting move(s)", as you called it).
This implies that you want to create tools, with which one is able to prune a variation tree "successfully", although this is only partially seen.
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The really most difficult Go problem ever:
https://igohatsuyoron120.de/index.htmIgo Hatsuyōron #120 (really solved by KataGo)