As RJ says, the large majority of go "theory" is informal. But to try to get a more solid handle on what ideas appear and how to handle it, as usual, I start with AI games (close enough to perfect play, but far enough to have interesting variations). It is strangely confusing to not need clear general thinking to play go at good human level.
with kata1b60c320s637 game 749369 https://katagotraining.org/sgfplayer/ra ... es/749369/
I have written some lengthy essays in the sgf. I hope many of the principles I explain based on weak point theory represent the spirit of my investigations and are clear. Hopefully it can be turned into a more formal precise calculation at some point. I am probably too stupid for that. I'm still thinking in terms of if there are DeepBlue-like heuristics for Go. Such are easier to understand and probably more accurate than anything in chess due to simplicity of rules. The main difficulty as always is tactics especially for eyespace.
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kata1-b60c320-s637-749369.sgf [28.44 KiB]
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