Author: Bob Durrett
Date: 12:36:46 11/16/00
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On November 16, 2000 at 13:35:17, Bruce Moreland wrote:
<snip>
>Why is evaluation more intelligent than search? If you have a program with a
>very simple search, that spends a large percentage of its time in evaluation,
>and you make the search more clever, so that a higher percentage of the time is
>spent in search, did the program become dumber?
"make the search more clever" sounds like a great idea! In future programs [new
paradigm? (sp=?), one might consider making the search considerably more
"clever."
It would be interesting to see ideas on how that might be done.
My first thought would be to find a way to incorporate "chess planning"
knowledge into the search strategy so as to favor evaluation of lines which are
consistent with appropriate chess plans [which, in turn, are based on earlier
position evaluations made to determine what the appropriate (or feasible) plans
are for each side.]
>
>And what about programs that do incremental evaluation? A good incremental
>evaluation should produce the same results as the same evaluation carried out at
>the tips, and it should do it more quickly. Is this program dumber?
To elaborate on this very interesting idea: Why should a position be evaluated
"from scratch" each time a new position is reached? That's not the way I do it
when I play chess. In my own serious chess games, information I found out in
earlier positions typically do influence my evaluation of the current position.
Perhaps this is true also for all chessplayers. Why not also for the computer
program?
>
>I think that one of the greatest wastes of time is trying to assign categories
>to these programs.
But . . . people keep asking "is this a knowledge based or a bean counter
program {also called "brute force")? What shall we do with those people?
Inherent in their questions about terminology seems to be the more important
question: "Which approach should I take in the design of my new chess-playing
program?" "Which approach offers more promise?"
>
>bruce
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