[From Rick Marken (930506.0900)]
Greg Williams (930505 - 2)--
It might be that Anastasio was wanting to see some "hard"
(neurophysiological) data in support of HPCT, rather than PCT.
I just recieved Tom Bourbon's brilliant reply to your post. It ends
with a line that perfectly describes the Catch-22 that I have had
to deal with since I first started working on PCT:
Tom Bourbon (930506.0854)--
Anyone, neurophysiologists included, who demands that the work
already be done before they become involved will not begin to
examine and test the PCT model.
Amen. It is easy to see this happening on the net too, where we hear
from many people who already "know" what PCT can and can't do.
Of course, since they already know it they never bother testing it.
CHUCK TUCKER (930505) --
(note that
Gary's work was used to critically attack Rick's paper that
started this most recent round of "what can be done to get PCT
accepted" posts).
What work of Gary's? Which paper of mine? Who critically attacked it?
Where was I?
So take your favorite area of
research and show how it would look differently from the PCT
perspective.
Sounds great but what if your "favorite area of research" is all
a bunch of statistical generalizations. What if the PCT perspective
on this research is that "there is nothing here to explain"? An
example is the research on "bystander intervention". There have
been all kinds of studies showing "significant effects" of different
variables on "the probability of bystander's helping". So there are
conclusions like "bystander intervention decreases as a function of
the number of other bystanders present". What's PCT supposed to do
with that!?! Especially since the next time they do the study it
might come out completely differently (as it typically does).
It sounds like a great idea to show how PCT explains "your favorite
research area" but the fact of the matter is that, in most cases
(except in the rare cases, like the operant studies Bill P. reanalyzed,
were there was individual subject data and good evidence of a variable
[shock rate] being controlled),the PCT explanation of "your favorite
research area" is that it is a misleading waste of time.
Ken Hacker (930506?) --
Hi, Chuck. Thanks for the forwarded note. I will soon be informing
the net that people trying to keep straight lines on a computer screen
is not social interaction in any meaningful sense.
And the net can hardly wait to be informed.
Avery Andrews (930506.1440 Eastern Oztime) --
nobody really has trouble with the concept of
feedback at lower levels, but it's at the higher levels, where
hierarchical relations become important, that the trouble starts.
Depends on what you mean by lower. It seems like the motor control
people (motor control is usually considered pretty "lower" level
stuff) have plenty of problems with feedback.
It
would help, I think, if we had more models of hierarchical systems
doing interesting things (more work on 14df, less on is-there-info-
in-the-X- signal would have been my reccomendation for March-April).
The "no info in perception" discussion got to the heart of PCT.
While it certainly would be interesting to build realistic 14df systems
(I can do that easily in the spreadsheet -- but it might not be con-
sidered "realistic"; if you send more data I'd be happy to try to
build a vocal tract model) whether it would have been better to spend
the time talking about such a model instead of "information in
perception" -- well, I don't know. I learned a LOT from that discussion.
Besides, Bill P. built a multiple df arm model that didn't make much of
an impression on the motor control establishment. Do you have some
reason to believe that 14 is the magic number of df that will get their
attention?
One can probably build an HPCT model even if they don't understand
that "there is no information in perception" but it is possible that
failure to understand what that little phrase means could lead one
on a fruitless search for the "information" to give their model to
make it work properly -- and they are then headed (apparently
irresistably) towards a dead end.
Greg Williams (930506) --
I'd like to hear more about how your "free will" can be integrated
with PCT models.
I'm with Greg on this. I don't see how "free will" (as I understand
that phrase) fits into PCT. What PCT contributes to our picture of
humans (and all other living systems) is autonomy -- that means (to
me) that the ultimate causes of behavior are inside the system itself.
What these "ultimate causes" cause is behavior in the PCT sense;
behavior as controlled perception. So the ultimate causes of behavior
cause (as best as the system can manage it) certain crucial perceptions
(the "intrinsic variables") to be in genetically determined reference
states. This view of "biological determinism" sounds like the
conventional view which says that genes cause behavior or behavioral
tendencies. But the conventional view looks at behavior as output; the
PCT view sees behavior as the reference state of perceptual inputs.
This makes a big difference because the PCT view makes it easy to
understand why people with exactly the same genetically determined
references for intrinsic variables (like identical twins) could end
up producing behaviors (ie. producing outputs) that are completely
different from one another. The outputs are just the means used to
control perceptions relative to genetically determined references. The
outputs depend on disturbances and it is quite likely that two different
people will encounter slightly different disturbances (and reorganize
to quite different control organizations) and, thus, end up with
potentially very different ways of controlling for the same variables.
Bill P. said it best: autonomy gives us the freedom to be human (ie.
to control intrinsic variables relative to genetically determined
references). To some that may be no freedom at all -- but, I'm afraid,
it's may be all we've got.
Best
Rick