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Subject: Re: Rating Points and Evaluation Function

Author: Uri Blass

Date: 06:45:40 05/20/02

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On May 20, 2002 at 08:23:35, Eric Baum wrote:

>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?

The question is what do you mean by not much else.

The difference between material only and material with piece square table can be
huge so only piece square table can be described as much else.

>
>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?

I doubt if it is possible to get a lot from extensive training of evaluation
function.

Uri



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