The paper can be accessed at
http://www.enel.ucalgary.ca/People/wangyx/Publications/Papers/B&M-Vol4.2-HMC.pdf

Their conclusion is based on the assumptions that there are 10^11 neurons
and their average synapses number is 10^3. Therefore the total potential
relational combinations is
(10^11)! / (10^3)! ((10^11)! - (10^3)!), which is approximately 10^8432.

The model is obviously an oversimplification, and the number is way too big.

Pei

----- Original Message ----- 
From: "shane legg" <[EMAIL PROTECTED]>
To: <[EMAIL PROTECTED]>
Sent: Tuesday, September 16, 2003 6:24 AM
Subject: RE: [agi] Discovering the Capacity of Human Memory


>
> The total number of particles in the whole universe is usually
> estimated to be around 10^80.  These guys claim that the storage
> of the brain is 10^8432 bits.  That means that my brain has around
> 10^8352 bits of storage for every particle in the whole universe.
>
> I thought I was feeling smarter than usual this morning!
>
> Possible explanations:
>
> 1) The quote to totally wrong the the "^" should be a "," ?
>
> 2) They got confused and thought it was 1 April
>
> 3) They are actually doing research into just how flaky AI
>    researchers really are and how easy it is to publish
>    mathematical nonsense in "Mind and Brain" Journal
>
> 4) The "scientists" somehow managed to get their PhDs without
>    understanding how numbers work
>
> 5) They concluded that the brain is really analogue and so they
>    worked out the volume of the skull at the Planck scale (actually
>    that doesn't work either as the Planck length is far far far to
>    large at 1.6 x 10^-35 m)
>
> and so on...
>
> Does anybody have a better explanation?
>
> Shane
>
>
> --- "Amara D. Angelica" <[EMAIL PROTECTED]> wrote: >
> http://www.kurzweilai.net/news/news_printable.html?id=2417
> >
> > Discovering the Capacity of Human Memory
> >
> > Brain and Mind, August 2003
> >
> >
> > The memory capacity of the human brain is on the order of 10^8432 bits,
> > three scientists have estimated.
> >
> > Writing in the August issue of Brain and Mind, their "OAR" cognitive
> > model asserts that human memory and knowledge are represented by a
> > network of relations, i.e., connections of synapses between neurons,
> > rather than by the neurons themselves as in the traditional
> > information-container model (1 neuron = 1 bit).
> >
> > This explains why "the magnitude of neurons in an adult brain seems
> > stable; however, huge amount of information can be remembered throughout
> > the entire life of a person," they point out.
> >
> > Based on the projected computer memory capacity of 8 x 10^12 bits in the
> > next ten years, Yingxu Wang et al. conclude that the memory capacity of
> > a human brain is equivalent to at least "10^8419 modern
> > computers....This tremendous difference of memory magnitudes between
> > human beings and computers demonstrates the efficiency of information
> > representation, storage, and processing in the human brains."
> >
> > They also conclude that "this new factor has revealed the tremendous
> > quantitative gap between the natural and machine intelligence" and that
> > "next-generation computer memory systems may be built according to their
> > relational model rather than the traditional container metaphor" because
> > "the former is more powerful, flexible, and efficient, and is capable of
> > generating a mathematically unlimited memory capacity by using limited
> > number of neurons in the brain or hardware cells in the next generation
> > computers."
> >
> > Brain and Mind 4 (2): 189-198, August 2003
> >
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