computer-go: Human move ID process survey...

["Churchill, Julian" <Julian.Churchill@xxxxxxxxx>]

Hi,
 
 I'm doing some research into applying AI to Go and my thoughts have turned to how humans play and emulating them rather than how to make a computer play and then working from there. 
 
 What I really need is a broad but brief survey of the thought process Go players (of all ranks) go through when identifying the best move to play. For example I scan the board, identify groups in potential danger and look for local moves that intuitively feel right. I then work out a few sequences, a handful of moves deep and choose the move that appears to give the most profit whilst achieving the goal.
 
Of course this is a bit simplified but any insights any players can give me will be invaluable. So I'm appealing to anyone that has a moment to answer my query, any help will be much appreciated. Also can any respondants please state their rank (or guess if unknown).
 
P.S. I am cross posting this to rec.games.go also.
 
Cheers,
Julian Churchill