Quote:
I think there is a fine line between greed and efficiency, and both are very different from balance.
Before this gets out of hand, let me try to bring things back in, er, balance.
I used the phrase about greed being good, rashly assuming people would understand the cultural reference as a joke (Gordon Gekko, Wall Street - greed is behind the "upward surge" in human development was the key phrase, I believe). It was also shorthand. Too short, obviously.
So, trying again, and digging back into my possibly unreliable memory of this, Wang Xi (one of the most intellectual pros) argued from the premise that we are typically faced with situations, mostly in the middle game, which are too difficult to read out accurately, but we still have to play something.
He claimed that the typical Japanese response (souba=soba go) would be to make a choice along the lines of "this may not gain me anything, but it won't lose me anything." That's par. Essentially it's risk free.
But the typical Korean approach was quite different. At that time Korean go was in a clear ascendancy (Yi Ch'ang-ho, Cho Hun-hyeon, Yu Ch'ang-hyeok, Seo Pong-su etc) and Chinese players were switching from trying to copy the Japanese to copying the Koreans.
Wang said (always with the proviso I'm not misquoting him) that the Korean approach was to look for an edge by accepting risk, and so if a player felt that he had more than 50% chance of getting an edge and less than 50% chance of losing out, he should consider taking his chances. The considerations are obviously based on things like confidence in one's own play (aka experience) and the overall state of the game or match.
The requirement for this to work, however, is that your assessment of the chances is reliable enough. Underlying this is an important point about risk. There is not just risk in reading out variations accurately. There is risk also in making the risk assessment itself. But it was believed that Yi Ch'ang-ho had found a way of making such assessments reliably (Wang gave an excellent specific example). That improved enormously his chances of succeeding with percentage plays.
Parenthetically, among people who mix up yose and the endgame (i.e. the typical western player), the notion developed that Yi was fantastic at the endgame. He no doubt was, but what he really excelled at was yose, or boundary plays, and the early-game example that Wang gave illustrated just that.
Chinese players ended up copying Korean players and the rest is history. Somebody should also tell the Japanese, and that, it seems to me, is what Ohashi is trying to do when he argues that it is this area in which Japanese pros have to look at in order to catch up (with AI, he says, but by implication, I think, with Chinese and Korean humans).
You can loosely talk (like me) of playing the percentages as greed, or you can call it something else. But whatever you call it, in practical go it has nothing for most of us to do with efficiency.
We can, and do, all make an assessment of our chances whether a particular move works. That's how we play blitz games and how many of us play slow games. Our assessments may be way out of kilter, but we still make them. And if we do improve them, we notice we become stronger, so in that sense they work. So we still play the same probabilistic way most of the time. From my own experience, I have always felt that the level that marks a pro is when you stop relying almost entirely on guesses/probabilities and, instead, play precisely, for par. Ironically, though, it now seems that's a stage you have to go through before you start switching back to playing probabilistically, because that's the only way you can beat people who are also capable of playing a whole round in par.
Assuming that's anything like correct, a principal characteristic of the probabilistic way of playing is that you do your reckoning up
in advance. Of course, you may read deeply and back up that information, but the measuring point is at the time you
start your manoeuvre.
Efficiency, for most of us us, even pros, is quite different. It is a measure, but we can normally only apply it at the
end of the manoeuvre.
Except that it seems that there are geniuses like Dosaku who can apply some sort of measure of efficiency instead at the start of a manoeuvre. If so, that seems a incredible edge.
Again with the proviso that these ramblings do describe anything real, I find it fascinating to speculate on whether AI bots are, in effect, playing probabilistically in typical human fashion, but with better numbers, or are they able to use a measurement of efficiency in advance - or both.
Either way, I think it could be useful to devise a good way of measuring efficiency. Maybe even essential, if we are to get closer to AI play. (And maybe the unit of measurement should be the dosaku

)