On Tue, 2008-08-12 at 08:49 -0700, terry mcintyre wrote:
> >From the wikipedia: 
> 
> 
> Implementations of the MTD(f) algorithm have been proven to be more
> efficient (search fewer nodes) than other search algorithms (e.g. Negascout) 
> in games such as chess[1].
> However, in practice, MTD(f) has some issues such as heavy dependence
> on the transposition table, search instability, and many others.
> Therefore, most modern chess engines still implement Negascout, which is 
> considered by many chess programmers to be the best search algorithm in 
> practice.

I've never been able to beat MTD(f) in my own chess programs.   There
are some issue's as you say,  but I don't think it has been written off
entirely.   It's still at heart just an aspiration search, like PVS or
negascout. 

- Don




>  Terry McIntyre <[EMAIL PROTECTED]>
> 
> 
> “Wherever is found what is called a paternal government, there is found state 
> education. It has been discovered that the best way to insure implicit 
> obedience is to commence tyranny in the nursery.”
> 
> Benjamin Disraeli, Speech in the House of Commons [June 15, 1874]
> 
> 
> 
> ----- Original Message ----
> From: Jason House <[EMAIL PROTECTED]>
> To: "[EMAIL PROTECTED]" <[EMAIL PROTECTED]>; computer-go 
> <computer-go@computer-go.org>
> Sent: Tuesday, August 12, 2008 8:17:35 AM
> Subject: Re: [computer-go] Re: mogo beats pro!
> 
> On Aug 12, 2008, at 10:44 AM, Don Dailey <[EMAIL PROTECTED]> wrote:
> 
> > We need to define terms so we don't end up arguing about something we
> > probably agree on.
> >
> > Here is my assertion (which I admit needs to be checked):
> >
> > Given perfect move ordering, but not a-priori knowledge of this,  a
> > parallel program will search more nodes on average than a serial
> > program.   And more processors will "waste" more work in this sense.
> > That's my definition of "wasted work."
> >
> > I'm sure there are also synchronization issues and other overheads,  
> > but
> > let's just deal with the tree size.    I think you agree with this,  
> > but
> > I'm not sure.
> >
> > I have to run but I will try to dig up a paper on this later today.
> >
> > - Don
> 
> This focus on bashing alpha-beta seems rather unjust. Any best-first  
> algorithm, including UCT/MCTS will have waste since spreading work  
> introduces latency and what's best becomes unclear.
> 
> I'm not trying to throw in a vote for how much waste occurs with  
> different algorithms but I will say that looking at MCTS scalability  
> in terms of playouts per second is like looking at nodes evaluated per  
> second with alpha beta.  The statistics and scalability arguments are  
> fundamentally flawed.
> 
> PS: I wonder how well alpha beta's cousin MTD(f) scales. I know chess  
> abandoned it because of its memory usage, but I think it's easier to  
> distribute...
> 
> 
> 
> 
> 
> 
> > On Tue, 2008-08-12 at 16:26 +0200, Gian-Carlo Pascutto wrote:
> >>> On Tue, 2008-08-12 at 15:40 +0200, Gian-Carlo Pascutto wrote:
> >>>> Even in the theorethical case of a perfectly ordered game tree?
> >>>
> >>> I'll have to check my facts, but I remember seeing actual numbers on
> >>> this.   It has something to do with the minimial tree and it was a  
> >>> proof
> >>> think that alpha-beta could not be fully parallel.  I will see  
> >>> what I
> >>> can dig up.
> >>
> >> This is very different from being forced to do wasted work.
> >>
> >> To put it extremely, I can run the entire problem on just 1 CPU.
> >> No work wasted. No speedup either, but hey, no work wasted :)
> >>
> >> If you split off work only when you are positive it will not get
> >> aborted, you will still get a speedup, but it will be limited by
> >> the critical tree (or minimal tree or mandatory work...I forgot the  
> >> name).
> >>
> >> I think you have this last case in mind.
> >>
> >> In practise things are very different from theory. You would rather
> >> do very questionable work (which is likely to get aborted) rather
> >> than have a CPU sit idle.
> >>
> >
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