RE: [Bug-gnubg] Measuring Complexity

[Michael Depreli]

Yes I agree.
Doesn't a neural net like a brain take in all the different aspects of a position and weight them and come up
with equities and then rank them?
So is there a way to extract from the weights of the net a measure of how many different factors make up the overall equity?
In the old builds you used to be able to call up the evaluator for the contact net and it would show you all the weightings.
Depending say how different these weightings were for plays that were close in equity could determine how complex a position was no?
There are 22 different weights displayed when I call up the evaluator. (I hope I've got that techincally correct).
Let's just say for simplicity sake for one position there are 2 moves and 20 of the weights are identical and only 2 different and in another
position 15 are identical and 7 different then that would be more complex.

Michael






> From: address@hidden
> Date: Fri, 4 Sep 2009 07:27:59 +1200
> Subject: Re: [Bug-gnubg] Measuring Complexity
> To: address@hidden
> CC: address@hidden
>
> I think it is not an easy one. My personal view is that a position is
> "complex" if there are several *different* top moves which are very
> close in equity. Now it all hangs on what "different" means :)
>
> -Joseph
>
> On Thu, Sep 3, 2009 at 11:13 PM, Michael
> Depreli<address@hidden> wrote:
> > I posted this on BGO:
> > Has anyone ever tried to tackle the subject of measuring complexity in
> > backgammon? Firstly you could take out moves / cube actions "that are
> > completely unimportant". You include opening moves and maybe even replies
> > amongst those? After that maybe you could use the move filters within BG
> > software to assign a value. So let's say using gnubg analysis no plays get
> > analysed at 2-ply as it's trivial then that move gets discarded. After that
> > you could assign some kind of values based on how many moves and how big an
> > equity difference they are away from the best play at 2-ply to reach a
> > figure and divide it by the total plays. I'm no mathematician so wouldn't
> > know how to weight these factors etc. Any thoughts or does no one really
> > care?
> >
> > Michael
> >
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> >

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