> -----Original Message-----
> From: Matt Mahoney via AGI [mailto:[email protected]]
> 
> On Thu, Feb 12, 2015 at 9:44 PM, John Rose via AGI <[email protected]>
> wrote:
> >
> > The k-complexity of a single bacterium’s molecular disassemblage has
> greater magnitude than that of OpenCyc’s ontological delineated totality.
> >
> > Yea or nay?
> 
> OpenCyc 4.0 has 239,000 terms and 2,093,000 triples according to
> http://www.cyc.com/platform/opencyc
> ReserachCyc has 500,000 concepts and 5,000,000 assertions. Each assertion,
> expressed as a triple encoding 3 concepts at log(500,000) =
> 19 bits each would be 300M bits. Assuming a Zipf or power law distribution
> over the concepts would probably allow the database to be compressed to
> 150M bits.
> 
> The genome of E. Coli is 4M base pairs or 8M bits assuming no compression
> (it compresses poorly).
> 

The genome is a starter for estimating an organisms complexity. But I would 
suggest as a genome is "injected" into an environment as a living agent the 
complexity increases possibly even dramatically. Hypothetically is my identical 
twin who is a world renowned polymath verses me a lifelong alcoholic hermit is 
our k-complexity the same? There is a difference from genomic to present state 
complexity after flushing out the "code" into a full organism and performing 
computational operation with the environment.

I think 8M might be way too small even with junk in the genome. And the power 
of microbial intelligence is based on inter-agent communication, 
self-organization, cooperation, collective/swarm intelligence, ability to 
mutate, etc.. So how does the complexity scale as bacterial population scales?
http://en.wikipedia.org/wiki/Microbial_intelligence

Then looking at Cyc's complexity it's difficult to judge since the pure data 
value is not as important as it's interrelational operability in human 
interactions so a purely k-complexity view doesn't reflect informational value 
perhaps... 

John




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