Computer Chess Club Archives


Search

Terms

Messages

Subject: Re: Evaluation Accuracy

Author: Peter Kappler

Date: 19:13:35 11/18/00

Go up one level in this thread


On November 18, 2000 at 21:23:54, Ricardo Gibert wrote:

>On November 18, 2000 at 12:37:20, Amir Ban wrote:
>
>>On November 18, 2000 at 06:03:39, Graham Laight wrote:
>>
>>>On November 17, 2000 at 19:24:23, Amir Ban wrote:
>>>
>>>>
>>>>If your criterion of knowledge is based on accuracy of evaluation then I
>>>>respectfully apply for membership in the exclusive "knowledge based" club (and
>>>>IMO some members don't belong there).
>>>>
>>>>BTW, accuracy of evaluation is the best criterion for being knowledgable that
>>>>I'm aware of. I've posted here in the past that, to start with, we don't have a
>>>>real definition of what good evaluation means. This is the focus of my work with
>>>>Junior for more than a year.
>>>
>>>IMHO, a truly accurate evaluation of a position would yield one of the following
>>>3 ordinal values:
>>>
>>>Win
>>>Draw
>>>Lose
>>>
>>>-g
>>>
>>>>Amir
>>
>>I can easily fake evaluation that gives only those values. I suppose that you
>>mean that the values should be true values. How do you propose to do that ? If I
>>have an eval that gives absolutely correct values 60% of the time (and the rest
>>wrong), do you expect my program to be weak or strong ? If I get 70% right, am I
>>necessarily stronger ?
>>
>>The question is, given two evaluation functions, to decide which is more
>>accurate.
>>
>>This is a good question. Your answer does not seem to lead anywhere.
>>
>>Amir
>
>With 100% correct evaluations of just win, lose or draw, can a program mate in K
>+ R vs K? I think it will just wander around unless mate happens to fall within
>the program search horizon. Yes?

Yep, it would wander around until it lucked into a mate or until the "threat" of
a draw by the 50-move rule forced it to play a mating line.

--Peter



This page took 0 seconds to execute

Last modified: Thu, 15 Apr 21 08:11:13 -0700

Current Computer Chess Club Forums at Talkchess. This site by Sean Mintz.