> "Isn't this just building alphabets of patterns and symbolizing "effective 
> complexity" regions (Gell-Mann ) on successive iterations while interacting 
> with a more general library graph of symbols? Aligning to entropy extrema 
> when forming crypticity topology."

Well it definitely is not *just* that.
Ironically, the concept of entropy may be an interesting concept in
computational mathematics but it used in a way that is nearly
nonsensical in physics - in my opinion. I think the idea first arose
from thinking about combustion. Stable substance is burned and turned
to its (relatively more) constituent parts. The problem is that
parochial view was untenable. Is the sun an entropic production
device? Because life on earth is totally dependent on the sun and it
would seem more like the sun is an anti-entropy device from that view.
A more modern view is that combustion and other forces of physics are
acts and effects that occur within a much more complex environment and
the attempt to define extremes is not necessarily a sound way to look
at nature.

Entropy is often said to be a measure randomness. But extreme
randomness is unmeasurable. Randomness can only exist within a bounded
system. If you have a bounded system you may start talking about
randomness but even then, there are problems with the definition. Any
random sequence of numbers, for example, can be made to be the output
of an infinite number of pattern generators. Oops - infinity is not a
number!  When I used the term "infinite number" I was just using a
figure of speech. But you know what I meant. The use of the term
random is like that in some ways. I mean, if you can understand that
any random sequence can also be seen as a product of an infinite
number of pattern generators then is your concept of randomness truly
sound? And if the concept of randomness is called into question then
how do you think entropic extremas are going to hold up?

Relative randomness - within a constrained system, and relative
entropy, also within a constrained system make a lot more sense
ironically enough. But to use them that way means that you would have
to start using them more like they were parts of an engineering
problem than some ideological superlative. And that requires a lot
more work. So when someone starts casually talking entropy or even
randomness as if these ideas somehow could be used to define what is
impossible then I already know that without a lot more work they are
not going to be able to build a useful substantive case - even for an
intuitive case. Because in an interesting system there may be more
than one way to define relative randomness.

Let me try one other idea that you mentioned. "...mining into
"dynamical depth" then inserting "purer" symbols from the library into
the compressed form at the appropriate depth. Symbol injection
basically."
I have thought a lot about substituting enumeration values for more
complicated formulas. But I have also thought about the importance of
using symbols that can then be efficiently used in specialized
algorithms. The symbols would have to have some interrelated
formatting (or some other quality that can be used effectively) to
allow them to be used efficiently in the algorithm. Yes I was thinking
of multiple layers of compression (or conversion from one compression
to another). But these (probably) would not exist as tables of symbols
or predefined rewrite rules.

One other thing. I don't care what Shannon said in his paper about
entropy any more than I care about Turing's use of the term,
"nondeterministic polynomial time." I suspect they used these terms
the way I used the term, "infinite number". In spite of the inanity of
using the term "infinite number" I do know that infinity is not a
number and I know something about the use of an approach to infinity
in the theory of limits. I only use the term as an abbreviation that
most people in a group like this can understand. It is nominal
abbreviation, like Shannon Entropy. As I said, I think entropy is
better defined within a constrained system. But Shannon Entropy is not
the only possible *relative* definition in a system. And Shannon
signal processing is not the only interesting system that might be
referenced in a discussion like this.
Jim Bromer

On Tue, Oct 9, 2018 at 8:04 AM John Rose <[email protected]> wrote:
> > -----Original Message-----
> > From: Jim Bromer via AGI <[email protected]>
> >
> > Operating on compressed data without having to decompress it is the goal 
> > that
> > I am thinking of so being able to access internal relations would be 
> > important.
> > There can be some compressed data that does not contain explicit internal
> > relations but even then it would be nice to be able to make modifications to
> > the data without decompressing it. My assumption is that the data would have
> > some kind of internal relations that were either implicit in the data or 
> > which
> > might be a product of the compression method.
> > The parts of the model that I am thinking about may contain functions to:
> > Compress data.
> > Transform compressed data into another compressed form without
> > decompressing it.
> > Append additional data onto the previously compression without
> > decompressing it.
> > Modify the data previously compressed without decompressing it.
> > Decompress the data.
> >
> 
> 
> Isn't this just building alphabets of patterns and symbolizing "effective 
> complexity" regions (Gell-Mann ) on successive iterations while interacting 
> with a more general library graph of symbols? Aligning to entropy extrema 
> when forming crypticity topology... shifting lossy and lossless dynamically 
> in referencing the general library. IOW, for example mining into "dynamical 
> depth" then inserting "purer" symbols from the library into the compressed 
> form at the appropriate depth. Symbol injection basically... the cleaner 
> symbols being effectively pre-compressed.
> 
> Maybe?
> 
> John
> 

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