Author: José Carlos
Date: 03:39:55 10/23/03
Go up one level in this thread
On October 23, 2003 at 06:19:14, Uri Blass wrote: >On October 23, 2003 at 05:34:29, Tony Werten wrote: > >>On October 23, 2003 at 04:43:31, Sergei S. Markoff wrote: >> >>>Hello! >>> >>>>In case you forgot, the evaluation can just return 1 score >>> >>>Oh when I was such simply guy >>>Than I was clean and brave :) >>> >>>>score it can't return 2 scores for either positional or tactical matters. >>> >>>The matter is not about the returning more than one score in search. The matter >>>is to use eval disequilibrium in current node to make some descisions. It can >>>affect search or evaluation itself. >>> >>>But, anyway, it's not impossible to use two scores. One example Centaur program >>>which uses two evals - pessimistic and optimistic. It's allows to produce good >>>cut-offs where optimistic eval < alpha or pessimistic > beta. I don't know >>>detatil but it seems to be interesting concept. >> >>Not really. It has been used for years, only most people use the term lazy eval. >> >>Pessimistic score: simple eval-maximum positional score >>Optimistic score : simple eval+maximum positional score > >This is not what I think about when I read pessimistic and optimistic. > >By this definition the difference between passimistic and optimistic is >constant. > >I think about calculating 2 bounds when in quiet positions the difference >between the bounds is small when in not quiet position the difference is big > >Uri Kind of my "uncertainity degree", which tells me how likely is the static eval to be worthless :) José C.
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