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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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