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Subject: Re: Researching after a fail-low

Author: Robert Hyatt

Date: 16:06:03 08/18/00

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On August 18, 2000 at 14:48:43, Dave Gomboc wrote:

>On August 18, 2000 at 13:53:16, J. Wesley Cleveland wrote:
>
>>On August 18, 2000 at 09:23:38, Robert Hyatt wrote:
>>
>>>On August 17, 2000 at 18:05:41, Gian-Carlo Pascutto wrote:
>>>
>>>>On August 17, 2000 at 14:43:08, J. Wesley Cleveland wrote:
>>>>
>>>>>When you have a fail-low in a deep search where the value drops significantly,
>>>>>finding an alternate move can take a very long time. This is largely because >the
>>>>>values in the hash table are largely useless, so in effect we are researching
>>>>>the entire tree. It seems to me one should use iterative deepening, and start
>>>>>from ply 1 again.
>>>>
>>>>This technique has been described by Schaeffer a long time ago...
>>>>
>>>>(Obvious question: Why is nearly no-one doing it?)
>>>>
>>>>--
>>>>GCP
>>>
>>>
>>>I'm not sure what you mean by described a long time ago.  But there is a big
>>>problem.  If you start over at 1 ply, you don't get the fail low score.  You
>>>find (again) the _wrong_ move, until you get deep enough.  When there is a big
>>>score swing between two iterations, you take your lumps.  There is no way to
>>>cheat alpha/beta there.
>>
>>You should get the fail low score, since it is in the hash table. They should
>>stay there as they are analyzed to a greater depth than you are likely to get
>>to.
>
>Yes, the technique relies upon the information from the deeper searches being
>present and used to perform cutoffs at shallower searches.
>
>Dave


Doesn't this sound _gross_ time-wise?  You find another move that doesn't fail
low, until the last iteration when the truth is found.   If you repeat this
a few times, it seems worse than just searching for a new best move???



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