Reading the signals of environmental systems

 

The Reasoner,  www.thereasoner.org 
(cc FRIAM)

 

I’ve been working with an effective method for reading the signals of change
within and for developing complex systems, for many years.   It seems to
have produced a list of apparently high quality new findings but a rather
short list of people able to understand them, or the simplicity of the
technique.    I did a better job describing it than usual with a mixed
philosophy/methodology paper for Cosmos & History, linked below.   It
describes the turning points of developmental learning curves as resources
for learning about the individual systems producing them.    When the curves
change direction, the directions of learning for the systems producing them
are changing direction.   What could be simpler?    

 

What seems complicated to people is; how do you square that with
determinism?   It’s done as a study of the freedoms that exist within the
laws, particularly the special freedoms of accumulatively divergent
processes, following the lines of reasoning of Elsaser and Rosen.    This
approach is a way of “turning the corner” to acknowledging that physical
processes typically combine both deterministic and creative behavior and
design.   It offers that individual system creativity within the laws is a
better and more consistent explanation for finding such diversity of well
organized things than a principle of general disorganization in systems as a
rule.    Determinism applies, but outside the range of freedom within the
rules for individual accumulative organizational processes.

 

The variation on the scientific method is based on physics, but is used
unlike other physics methods.  It’s primarily diagnostic physics, for
raising better questions, not representational physics.   It lets one
systematically explore the relationships between the different cells of
self-organization that constitute individual complex systems and their
learning processes.   It’s a window into the animating hearts of our world,
opened by a disciplined way of watching their paths of development and
helping reveal both what makes life exciting and dangerous.     Learning to
read the signals of how your environment is changing directions helps a lot
with avoiding the error of not responding to them… 

 

Failing to respond with curiosity to signals of change in your whole
environment is to display a deep denial and a most backward kind of response
to new realities.     Today the world is surrounding us with new realities
of all kinds that are confusing, and dangerous, but most people have not
seen them as world changing for us.    Having a better way to read the
signals can help.     But we still need to cross the “big divide” to
acknowledging the presence of individual complex systems in our world.   We
need to learn to read the individuality of their learning processes and that
for us, each is different and “out of control”.   The big “expert error” of
determinism taken as a universal principle seems to be its implication that
the universe constitutes only one system.

 

It’s also big jump, conceptually, to move from an idea that the symbolic
relationships we sketch on our notepads and in our computers are not
actually what the systems of nature use to operate.    If they have been
quite effective in giving us control over lots of things, they have also
been less useful for helping us see what we can’t control.   They won’t ever
give us control over the ranges of freedom that individual systems have
within the laws to develop their own independent designs and behaviors.     

 

It’s a jump that many others have seen but not quite seen how to make.
Stuart Kauffman’s new image of the universe as being indelibly creative in
its natural processes and requiring a “Reinvention of the Sacred” paints the
problem brilliantly.    We find ourselves with a deep conflict, representing
the new world we now find ourselves in can’t be done using the tools we
developed to find it.      My approach to crossing that divide is based on a
way to indentify independent behaviors without loosing the connection
between science and evidence, giving away only the small detail of
descriptive certainty by allowing descriptive uncertainty.     That’s what a
diagnostic physics for reading the learning curves of individual systems has
some potential to make efficient and effective, while also helping to open
up the fascinating intricacy of our living world to view.   Pfh

 

Life’s Hidden Resources for Learning -
http://www.cosmosandhistory.org/index.php/journal/article/view/200/259 

Features of Continuity in data shapes -
http://www.synapse9.com/fdcs-ph99-1.pdf 

Physics of Change - http://www.synapse9.com/physicsofchange.htm 

Learning curves & Learning limits -
http://en.wikipedia.org/wiki/Learning_curve 

Other Papers - http://www.synapse9.com/phpub.htm 

Physics of Happening –http://www.synapse9.com/drwork.htm 

 

 

 


Phil Henshaw            natural systems design science             ¸¸¸¸.·´ ¯
`·.¸¸¸¸
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
680 Ft. Washington Ave NY NY 10040                       
tel: 212-795-4844   e-mail:  <mailto:[EMAIL PROTECTED]> [EMAIL PROTECTED]
explorations:  <http://www.synapse9.com/> www.synapse9.com    

"it's not finding what people say interesting, but finding the interest in
what they say" 

 

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