On Fri, May 11, 2012 at 11:23 PM, Bruno Marchal marc...@ulb.ac.be wrote:
On 11 May 2012, at 13:10, Hector Zenil wrote:
Information that readers may find interesting:
Stephen Wolfram has written the first in a series of blogs posts about
NKS titled It's Been 10 Years; What's Happened
(Escuela Superior de Cómputo, Instituto
Politécnico Nacional; Centre for Unconventional Computing, University of
the West of England & LABORES)
- Dr. Juan Carlos SECK TUOH MORA (Área Académica de Ingeniería, Universidad
Autónoma del Estado de Hidalgo)
- Dr. Hector ZENIL (Department of Computer Sci
is made at Leiden Institute of Physics! Of course, to work current
> (complex, innovative) science you must have an interdisciplinary approach.
Francis Crick was a physicist at the Physics Cavendish Laboratory in
Cambridge with Watson, Frederick Sanger was a biochemist, etc.
Best,
- Hector Zenil
http
sorg opens their popularizing note about the above article with:
"Second layer of information in DNA confirmed"
Interesting.
On Wed, Jun 8, 2016 at 11:10 PM, Hector Zenil <hzen...@gmail.com> wrote:
>> 2016-06-08 16:40 GMT-03:00 John Collier <colli...@ukzn.ac.za>:
>
I think complaining about Shannon entropy as a measure of information is
completely justified because it is steam-engine physics unfortunately still
widely used despite its many flaws and limitations.
But to think that Shannon entropy is at the front-end in the mathematical
discussion of
There is no way I could trust such a proof as it would completely rely on
the very particular and certainly arbitrary axiomatic theory in which such
a proof could be produced (there is no way we can take the 'universe' as
being operating on theories of relativity and quantum field, for
example).
llier/papers/infsym.pdf> (*Symmetry* 1996).
>
Very nice paper. I agree on symmetry breaking, I have similar ideas:
https://arxiv.org/abs/1210.1572
(published in the journal of Natural Computing)
On how symmetric rules can produce assymetric information.
Best,
Hector Zenil
http://www.hectorzenil
and Information Value (https://arxiv.org/abs/1506.04349).
And we even show how Entropy fails at the most basic level:
Low Algorithmic Complexity Entropy-deceiving Graphs (
https://arxiv.org/abs/1608.05972)
Best Regards,
Hector Zenil
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