I don't understand your question. I don't claim non-determinism
helps with alpha beta and I'm not recommending a fuzzy evaluation
function, I'm just saying it still works. A deeper search will
produce better moves in general.
One has the randomness anyway. A heuristic evalution can be considered as
the sum of a systematic term which is an estimator of the "true" evaluation
and an error term (and a bias).
One consequence of this model is, that the shape of the search tree has a
significant influence on the evaluation. The programm will favour variations
where it has a lot of good moves and the opponent has only a few. Because
the more (good) moves the program has, the higher is the expected value of
the error terms. The programm has more tickets in the error-term lottery.
I have noticed this effect constantly. E.g. if one extends captures, the
programm tends to favour lines with captures, if one extends checks
stronger, the program likes to check...
Chrilly
_______________________________________________
computer-go mailing list
computer-go@computer-go.org
http://www.computer-go.org/mailman/listinfo/computer-go/
