Re: Anticipatory Systems

[Tim Gwinn <***>]

I would disagree that digital robots are qualified to be called
"anticipatory systems" as Rosen used the term. Rather, I would say that they
are simulations of anticipatory systems. Anticipatory systems are complex
systems [AS 425, EL 199]. A digital robot simulates in software the
interaction of the components (model, effectors, etc.) that would be
implemented in 'hardware' in a true anticipatory system. An anticipatory
system embodies impredicative relations among these components.

I would agree that a digital robot can demonstrate an "anticipatory mode of
control". Judith some time ago pointed out that a camera diaphragm mechanism
[AS 41-42] also demonstrates an "anticipatory mode of control" but that it
is not thereby an anticipatory *system*.

Regards,
Tim


> -----Original Message-----
> From: ROSEN Forum [mailto:*** Behalf Of Jerry
> Zhu
> Sent: Thursday, February 03, 2005 10:40 AM
> To: ***
> Subject: Re: Anticipatory Systems
>
>
> Judith,
>
> Both feedforward and feedback control are common in
> machine based control system. They are routined taught
> in undergraduate texts.
>
> Anticipatory systems can be simple systems being
> algorithmic based such as electrical or mechanical
> systems.
>
> Biological systems (1st and 2nd order autopoiesis) are
> anticipatory and model-based.  They are subcategory of
> living systems.  Social systems (3rd and 4th order)
> are different kind model-based anticipatory systems.
>
> Model based ASs have inductive capacity that
> characterise learning systems.  The implication is
> that computers are not learning machines.
>
> Jerry
>
> --- Judith Rosen <***> wrote:
>
> > 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
> >
> >
> >
> >   __________________________________________________
> >   Do You Yahoo!?
> >   Tired of spam?  Yahoo! Mail has the best spam
> > protection around
> >   http://mail.yahoo.com
> >
>
>
>
>
> __________________________________
> Do you Yahoo!?
> Yahoo! Mail - Easier than ever with enhanced search. Learn more.
> http://info.mail.yahoo.com/mail_250