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Subject: Re: Plans in chess programs?

Author: Chris Carson

Date: 04:59:57 06/16/99

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On June 16, 1999 at 05:36:21, alfred palang wrote:

>Planning...this is where the big hole is with our programs.  Tactics: programs
>execute them with astonishing accuracy.  Positionally: we need more
>improvements!

I agree with your assessment on "Tactics" and "Position".
My opinion (+ $2.00 will get you a cheap cup of coffee, notice
it will cost more with my opinion) is that "Positional" advantages
create tactics, and many times the tactics are beyond the horizon
of the computer (or the person these days with deep searches by
many programs ie: crafty, fritz, junior on 4 processor machines).

I consider planning by a computer to be partially the depth of the
pv and planning improvements to be the continued searching for better
moves (yes this is tactically based and not all inclusive), but with
faster machines and broader searches, like Deep Blue, computers will
become better planners and "Positional" skills will also improve.  Just
my view and we are  a long way from the type of speed needed to make
this happen unless you use Application Specific Integrated Circuits
(ASICS) like the Deep Blue team did.

I wonder if any research has been done to determine at what point
programmed knowledge can be removed because of deeper searching (if at all)?
I am thinking of simple knowledge like avoid Bxh2 (if B becomes trapped).
Just a thought, maybe knowledge should never be removed, but my opinion
is that a "static" evaluation will be all that is necessary for deep
searching, I just do not know what ply level is deep enough to remove
knowledge (might be a futile quest).  My program has only a "static"
eval and is very fast, but it gets killed by Crafty (which has a very
nice balance of great eval and speed) and CM6K.  My programs end game
is dependant on search depth + tablebases (a form of knowledge) and
learning (another form of knowledge).  Oh well, I get a kick out of watching
it speed by, guess I also love drag racing.  :)

Best Regards,
Chris Carson



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