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Subject: Re: static evaluation: alpha-beta-Evaluation Functions

Author: Tim Foden

Date: 14:26:08 04/14/02

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On April 14, 2002 at 13:57:38, Vincent Diepeveen wrote:

>On April 14, 2002 at 13:37:19, Alessandro Damiani wrote:
>
>>Hi Vincent,
>>
>>You too much concentrated on the game Mawari. I think they choose Mawari to have
>>a simple framework to experiment with. I guess a Mawari engine is far simpler
>>than a Chess one. So, forget Mawari. :)
>>
>>You are right, alpha-beta evaluation functions are like lazy evaluation. But,
>>the big difference is that an alpha-beta evaluation function is an algorithm
>>that traverses a classification tree. I have in mind the picture of an ordered
>>hierarchical structure of position features (a tree of features). At first sight
>>it seemed to me like that (right, I didn't take the time to read the whole text
>>:).
>>
>>We both agree on the bad effect of lazy evaluation on positional play, but an
>>alpha-beta evaluation function seems to be different: the bounds on a feature's
>>value range are not estimated.
>>
>>But maybe I am wrong.
>
>Yes you are wrong.

No, he is not.  They are not doing lazy-evaluation.  Maybe you should read the
article before making pronouncements about whether they are doing what you
_think_ they are doing.

At the time they are comparing with alpha-beta, they are _not_ guessing.

Whether what they are doing would be applicable to chess is another thing
entirely.

Tim.



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