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Subject: Re: chess and neural networks

Author: Ralph Stoesser

Date: 15:09:24 07/02/03

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On July 01, 2003 at 18:28:19, Djordje Vidanovic wrote:

>On July 01, 2003 at 15:35:22, Charles Roberson wrote:
>
>>
>>  KnightCapp uses neural networks and I beleive some papers were published
>>  about it.
>>
>>  ICCA Journal vol 14 September 1991 has a paper "Neural Networks as a Guide
>>  to Optimization" by A. van Tiggelen. It discusses automated tuning of a
>>  position evaluator.
>>
>>   Charles
>
>
>KnightCap is pretty good at learning both opening lines and evals. I finally
>managed to compile it to run well on my Linux box and I started it without any
>brain.dat actually and with default coeffs.dat.  In a little while it started
>beating Gnuchess (say after about 400 blitz games) and even managed to win
>several games against Crafty.  It IS getting stronger, but of course its limits
>are close   because the search parameters have to be better. Although some
>programmers do think that its qsearch is fine...
>
>I find KnightCap a lot of fun, especially its "mulling" over the losing lines
>and finding out better lines while idle.  I find it an extremely tough opponent,
>as tough, if not tougher than some well known programs.  After about 500 blitz
>games it started beating Scidlet as well.  Scidlet is considered to be about
>2200, so I'd venture to say that KnightCap progressed from a 1900 player to a
>2250 player in about 500 games.  There are a couple of papers on KnightCap in
>pdf format, by Andrew Tridgell and Jonathan Baxter.  And, of course, the famous
>paper on Temporal Difference learning by Rich Sutton that started it all.  All
>can be found on the Net.
>
>Neural learning seems to be quite succesful in games that require fewer
>parameters than chess, such as backgammon (JellyFish, GnuBackgamon, BGBlitz) or
>checkers.  Chess is tough as it has lots of parameters that matter.
>
>Djordje

Wow, that's pretty interesting. Thank you. I'm dreaming now about a god like
evaluation function ;)



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