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Re: Anticipatory Systems



Tim,

Many robots are controlled by neural nets that are not programmed but that learn from experience, e.g., see http://www.evobot.com/

I think there is going to be a more or less continuous transition from simulated anticipatory systems to real (indistinguishable from living) anticipatory systems.

Howard

At 11:32 AM 2/3/05 -0500, you wrote:
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