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Subject: Rating Points and Evaluation Function

Author: Eric Baum

Date: 05:23:35 05/20/02


How much do modern programs benefit from
developments beyond alpha-beta search +quiesence
search? So, if you did the same depth search,
same quiesence search, same opening book,
same endgame tables, but replaced the evaluation
function with something primitive-- say material
and not much else-- how many rating points would you
lose?

My recollection is that one of the Deep Thought thesis
showed a minimal gain for Deep Thought from
extensive training of evaluation function--
it gained some tens of rating points, but
less than it would have gained
from a ply of additional search. Has that changed?



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