I am pretty sure their formulas give bounds on the number you want, but not
an exact calculation...

Sorry the terminology is a pain!   At some later time I can dig into this
for you but this week I'm swamped w/ practical stuff...

On Thu, Oct 16, 2008 at 2:35 PM, Ed Porter <[EMAIL PROTECTED]> wrote:

>  Ben,
>
>
>
> Thanks.  I spent about an hour trying to understand this paper, and, from
> my limited reading and understanding, it was not clear it would answer my
> question, even if I took the time that would be necessary to understand it,
> although it clearly was in the same field of inquiry.
>
>
>
> After about an hour I gave up, since it uses a lot of terminology I do not
> know and since it is sufficiently deep that without the help of someone to
> guide me, I am not even clear that I would be able to understand it enough
> to extract from it guidance as to how to solve the problem I posed.
>
>
>
> Ed Porter
>
>
>
> -----Original Message-----
> *From:* Ben Goertzel [mailto:[EMAIL PROTECTED]
> *Sent:* Thursday, October 16, 2008 11:32 AM
> *To:* [email protected]
> *Subject:* Re: [agi] Who is smart enough to answer this question?
>
>
>
>
> OK, I see what you're asking now
>
> I think some bounds on the number you're looking for, are given by some
> classical combinatorial theorems, such as you may find in
>
> *http://www.math.ucla.edu/~bsudakov/cross-<http://www.math.ucla.edu/%7Ebsudakov/cross->
> intersections.pdf*
>
> (take their set L to consist of {0,...,O} ... and set A_1 = A_2), and the
> references given therein.  Anyway that paper should clue you in as to the
> right keyphrases to use in hunting down related theorems if you want to.
>
> You are right that it's a nontrivial combinatorial problem
>
> -- Ben
>
>
>
>  On Thu, Oct 16, 2008 at 11:08 AM, Ed Porter <[EMAIL PROTECTED]> wrote:
>
>
> Eric,
>
> Actually I am looking for a function A =f(N,S,O).
>
> If one leaves out the O, and merely wants to find the number of
> subcombinations of size S that can be formed from a population of size N,
> just apply the standard formula for combinations.  But adding the
> limitation
> that none of the combinations in A is allowed to overlap by more than O
> with
> any other combination in A makes things much more complex, and way beyond
> my
> understanding.
>
> Ed Porter
>
>
> -----Original Message-----
> From: Eric Burton [mailto:[EMAIL PROTECTED]
> Sent: Wednesday, October 15, 2008 8:05 PM
> To: [email protected]
> Subject: Re: [agi] Who is smart enough to answer this question?
>
> >Is anybody on this list smart and/or knowledgeable enough to come up with
> a
> >formula for the following (I am not):
>
> I don't think I'm the person to answer this for you. But I do have
> some insights.
>
>
> >Given N neural net nodes, what is the number A of unique node assemblies
> >(i.e., separate subsets of N) of size S that can have less than O
> >overlapping nodes, with the population of any other such node assembly
> >similarly selected from the N nodes to have the same size S and less than
> >the same O overlapping nodes with any other such node assembly.
>
> Good question. Let's call the function that returns A for N, "f(N)",
> and continue.
>
>
> >For example, if you have 1 billion nodes (N = 1G), how many cell
> assemblies
> >(A) of size 10,000 (S=10K) will have less than 5,000 nodes (0 = 5K) in
> >common with the population of any other node assembly.
>
> So at this point we are seeking f(1000000000), which I'm going to go
> ahead and call P.
>
>
> >Its easy to figure out how many unique cell assemblies drawn from a
> >population of N nodes that can have a size S, but I haven't a clue, other
> >than by computational exploration to figure out how many will each have
> less
> >than a given level of overlap with any other unique cell assemblies.
>
> This is why we have f.
>
>
> >And for anyone who knows how to solve the above, if possible, could you
> also
> >please also tell me, once you have close to A node assemblies selected
> that
> >have less than O overlap, how can you rapidly determine the population of
> a
> >new node assembly that has less than O overlap?
>
> For my purposes, f is a black box. You'd have to delve into its
> internals to answer this yourself.
>
>
> >This is not just an meaningless math problem.
> >A lot of people believe the human brain uses cell assemblies to represent
> >nodes in a representation of semantic knowledge.  Such cell assemblies
> >create problems with current computer hardware because they tend to
> require
> >very high internal bandwidth, but in future architectures this problem may
> >not exist, and if the number of cell assemblies that can be created with a
> >sufficiently low cross-talk is large relative to the number of nodes, the
> >use of cell assemblies can allow for redundancy, high representational
> >capacity, and gradual degrading of memories over time to make room for
> more
> >memories.
>
> Hence, I suppose, the value of your inquiry. If I'm visualizing the
> issue correctly you'd like a function that returns the number of
> unique neural nets with a number of nodes either less or greater than
> n and interconnects either less or greater than i... I'll reiterate
> that I'm not a student of mathematics and aren't qualified to address
> the details of the problem. But surely this function is what we've
> been calling f. I'd welcome corrections and clarifications. I may not
> understand the question.
>
> Eric B
>
>
> -------------------------------------------
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> --
> Ben Goertzel, PhD
> CEO, Novamente LLC and Biomind LLC
> Director of Research, SIAI
> [EMAIL PROTECTED]
>
> "Nothing will ever be attempted if all possible objections must be first
> overcome "  - Dr Samuel Johnson
>
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-- 
Ben Goertzel, PhD
CEO, Novamente LLC and Biomind LLC
Director of Research, SIAI
[EMAIL PROTECTED]

"Nothing will ever be attempted if all possible objections must be first
overcome "  - Dr Samuel Johnson



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