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Re: BigIron vs BigWet was: The meaning of "inner".

Posted by Steve Smith on Jul 20, 2008; 8:48pm
URL: http://friam.383.s1.nabble.com/REPOST-The-meaning-of-inner-tp573374p574384.html

FYI...  a few of my publications  that are in the general vicinity of this topic.

Smith S, Watt RC, Hameroff SR.  Cellular automata in cytoskeletal lattice proteins. Physica D, 1984; 10:l68-l74.

Johnson, N. L., Rasmussen, S., Joslyn, C., Rocha, L., Smith, S., & Kantor, M. (1998). "Symbiotic Intelligence: Self-Organizing Knowledge on Distributed Networks Driven by Human Interactions." In C. Adami, et al. (Eds.), Artificial Life VI. Cambridge, Mass., MIT Press. <http://ishi.lanl.gov/Documents/ALife6_LANL.pdf>


Kenneth L. Summers, Thomas P. Caudell, Kathryn Berkbigler, Brian Bush, Kei Davis, Steve Smith. Graph Visualization for the Analysis of the Structure and Dynamics of Extreme-Scale Supercomputers. In Journal of Information Visualization, 2004.


I do not, by the way, endorse Hameroff/Penrose's  Quantum Consciousness schtick. I find it entertaining but their assertions seem to be based as much on disproving complexity-origins as it is on proving quantum-origins of consciousness.

- Steve
 Prediction:
    BigIron (silicon) games will play on for some time yet.  BigWet (neural tissue) will continue to rule.

As a long-time player in the various games of UberDuber computing at LANL, starting (spiritually) with Metropolis' MANIAC and currently playing there with RoadRunner, I continue to be under-impressed with the game.  

After 30 years of shooting the curl of Moore's Law and parallel architectures:  (2^(30/1.5) = 2^20 =~10^6 increase in processor speed and ~10^5 increase in processor count or 10^11 - benchmarked at 10^15 flops vs 10^5 ops for MANIAC) , I am generally unimpressed by what has changed qualitatively.   Perhaps we are on the verge of a serious breakthrough based on raw flops, but I doubt it.

I'm one degree of separation from Gar Kenyon (et al.'s) work on Roadrunner to model neural systems starting with the visual cortex (PetaVision).  I think they are likely to get some very interesting results, but not qualitatively closer to human cognition.   I don't expect it anyway, until we change our paradigms for modeling neural processes.   (e.g., I am very impressed with Tom Caudell's approach to top-down meets bottom-up neural systems (catagory theory from the top, neural nets from the bottom)).

Those 5 Billion Neurons are part of a self-modifying network of analogish state machines embedded in a biochemical network we don't even take into account (for the most part) when we measure and model said BigWet.   The 5 Trillionish transistors would seem to trump the 5 Billionish Neurons 1000 times over... but clearly they don't.  If Roadrunner is anything like the last dozen superduperclusters built, it will (also) never run as a single unit except for benchmarking purposes... it will be a fractured set of tiny fractions of itself most of the time.

These neural systems (of which the brain is merely/surely the biggest lump) of ours were "designed" over eons by a highly parallel process of mutation and natural selection and the software was designed by a similar process in the context of our social systems over centuries or millenia and tuned over decades of learning in any given individual.

I don't mean to be a naysayer... these massively parallel, mega-giga-hyper-fast systems are *very* intertaining in many ways, I'm just a bit further from looking into the room where the RoadRunner is installed and waiting for it to say "What are you doing Dave (Steve)?" as I reach for the 6inch diameter bundles feeding it power and connections to the outside world.

Forgive me ( but correct me anyway ) on any errors of fact I may have introduced by dashing this off between breakfast and beer.  And then have a heyday with the concepts if you will.

- Steve







============================================================ FRIAM Applied Complexity Group listserv Meets Fridays 9a-11:30 at cafe at St. John's College lectures, archives, unsubscribe, maps at http://www.friam.org


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FRIAM Applied Complexity Group listserv
Meets Fridays 9a-11:30 at cafe at St. John's College
lectures, archives, unsubscribe, maps at http://www.friam.org