Any commments on this paper?
http://www.kluweronline.com/issn/1389-1987/current
Brain and Mind
4 (2): 189-198, August 2003
Copyright C 2003 Kluwer Academic Publishers
All rights reserved
Discovering the Capacity of Human Memory
Yingxu Wang
Theoretical and Empirical Software Engineering
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
Good point Shane, I didn't even pay attention to the ludicrous size of the
number, so keen was I to get my rant out.
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] 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
1) The quote to totally wrong the the ^ should be a , ?
It's 10 to the 8432 power, according to the paper. This is the
theoretical memory capacity, not its actual size, but no estimates are
given for real-world typical size of memory, so the comparison with
machine capacity seems unrealistic.
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
It's also disconcerting that something like this can make it through the
review process.
Transdisciplinary is oftentimes a pseudonym for combining half-baked and
ill-formed ideas from multiple domains into an incoherent mess.
This paper is an excellent example. (bad math + bad neuroscience
On Mon, 15 Sep 2003, Amara D. Angelica wrote:
Any commments on this paper?
http://www.kluweronline.com/issn/1389-1987/current
Anders Sandberg's PhD thesis (thanks to Cole Kitchen for
originally posting this to the AGI list) at:
http://akira.nada.kth.se/~asa/Thesis/thesis.pdf
entitled
Yeah, it's a bit of a worry.
By the way, if anybody is trying to look it up, I spelt the guy's
name wrong, it's actually Stirling's equation. You can find
it in an online book here:
http://www.inference.phy.cam.ac.uk/mackay/itprnn/book.html
It's a great book, about 640 pages long. The result
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
James Rogers wrote:
I was wondering about that. It seems that the number represents the size of the
phase space, when a more useful metric would be the size (Kolmogorov complexity)
of the average point *in* the phase space. There is a world of difference
between the number of patterns that can
Eliezer wrote:
Are you talking about the average point in the phase space in the sense
of an average empirical human brain, or in the sense of a randomly
selected point in the phase space? I assume you mean the former, since,
for the latter question, if you have a simple program P that
The Tao is the set of truths that can be stored in zero bits.
--
Eliezer S. Yudkowsky http://singinst.org/
Research Fellow, Singularity Institute for Artificial Intelligence
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