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Re: Anticipatory Systems



Dear Judith,
In reference to your following quotation and the further clarifications and information provided these days by you and Tim I have a few reflections to make:
 
"He used a high-tech camera as an example of a machine with anticipation built in. He recommended that our modes of government and city planning, social system analysis, etc, all be examined for ways to build in a "feed-forward" control system rather than purely feed-back. It's important to note that while all living systems are anticipatory they also have the capability for purely reactive behavior as well. That's something all systems possess. But anticipatory controls are superior under most circumstances because they prevent the system from entering an "error state". An ounce of prevention is worth a pound of cure!"
 
You know that I am not a biologist but am very much interested in understanding well what is still to be uncovered from those still hidden within the Rosen treasure. To make the new entry more digestable for me, I am each time interpreting every piece of concept and knowledge continuously flowing from your end (you and Tim) into my own built-in professional and personal bagage and gradually unfolding.  I usually find them compatible and reflecting my own life-time difficulty in making people around me to understand certain subtle differences in approaches which look the same on the surface. My thinking process and  my practical actions, almost all my life-long activities concerning river basin planning and implementation, have been shaped by my education, training and practising in an area which required an interdisciplinarity, building the whole as the parts relate and fit in, (as against multidisciplinarity- adding parts to make a sum)  which requires attention to relationships and growing together by influencing each other in the process towards a target, never fully reached. Interdiciplinarity deals with complex systems requiring a process approach with all the characteristics of anticipatory systems where feed-back and feed-forward are continuously operating. It is very similar to living system, with only difference it starts with a man-made starting point with a man-made endind point, but always to be revised on the way. At times initial conditions are also affected. This is also basic difference between project versus process  approach, which is in a way self-organizing, nonlinear and dynamic as well as synergistic. It is certainly never as self-organized and emergent as the nature is where the biology forms an integral part.This is certainly ideal but many times politics determines both the initial conditions and the fixed targets. This is what we are trying to replace. To go with that my personal aim is to apply my own understanding and Rosennean approach as an amplifying, correcting and maturing tool to social-ecological systems to make a dent within  the process of replacing the ongoing (declining) social paradigm with a nature/human friendly one from within.
 
This is similar to healing a failing health by improving the body's immune system or reforestation on the side of living systems and restoring an ailing historical structure growing from its own original credentials (purpose/function, shape/content.. as causations in nature).
 
This is just for you and Tim to reflect on. Please let me know if I am out of the track. Even if I am I must say how much I appreciate the work progressing in this list. 
 
My best,
Ayten
----- Original Message -----
To: ***
Sent: Thursday, February 03, 2005 5:11 PM
Subject: Re: Anticipatory Systems

Hi Jerry,
 
One of the applications for studying natural anticipatory systems is to develop the ability to create anticipatory controls for our own technological needs. He used a high-tech camera as an example of a machine with anticipation built in. He recommended that our modes of government and city planning, social system analysis, etc, all be examined for ways to build in a "feed-forward" control system rather than purely feed-back. It's important to note that while all living systems are anticipatory they also have the capability for purely reactive behavior as well. That's something all systems possess. But anticipatory controls are superior under most circumstances because they prevent the system from entering an "error state". An ounce of prevention is worth a pound of cure!
 
I would dispute that these encoded models are all in the genes, Jerry. There's so much more that's going on than just genetics.
 
Judith

----- Original Message -----
From: Jerry Zhu
To: ***
Sent: Thursday, February 03, 2005 9:54 AM
Subject: [ROSEN] Anticipatory Systems

--- Judith Rosen <***> wrote:

How the information in these internal predictive
models is encoded, how it is integrated with "real"
behavior of self/environment, how it acts on system
behavior... these are all wide open areas which are
just screaming for one of you guys to pursue.

Judith,

A robot is also qaulified as being anticipatory. It is
quit common practice to have machine learning, pattern
recognition to learn environment and anticipate
consequances of future actions so to adjust current
action. A robot can learn environment and get around
obstacles along the way.  These type of ASs are
algorithmic such as computers and they are closed in
the sense that the change of environment is
predetermined.  The description of self and
environment is syntactic. Its mechanism is deduction.

Life as being anticipatory is model-based intead of
algorithms based.  A insect changes its behavior to
adapt to evironmental change not thro genotype but
thro mutation of the genes.  New genes are created in
next generation that are hypothesis not in older
generations.  New behaviors are generated by
interpretate the new genes.  This process is inductive
and semantic.  New knowledge is created by enlarging
the understanding of environment and self thro these
new genes or hypothesis.

Jerry



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