From Tom Bourbon [931014.1040]
I will use two of Martin's posts in reply to Rick as points of entry into
the discussions on a few threads. Other work has kept me away from the
mail for a few days.
[Martin Taylor 931013 12:00]
(Rick Marken 931009.1500)
Martin, earlier:
Consider a second ECS (B), which has as its CEV-B some part of the variable
that disturbs CEV-A. ECS-B has no perception of ECS-A or CEV-A. It simply
controls CEV-B. But as a consequence of that control, the disturbance
to CEV-A is reduced, easing the control by ECS-A of its own perception.
Now suppose that CEV-A is part of the variable that disturbs CEV-B. Now
ECS-B has an easier job of control, which directly eases control exercised
by A. Each ECS in this figure-8 loop has a multiplicative effect on the
apparent gain of the other.
Rick:
In fact, this situation (as described and shown in Martin's diagram) is
virtually identical to the interactive control situations analyzed by
Tom Bourbon and the coordinated control situations analyzed by yours truly
(and described with icy clarity in "Mind Readings").
Martin:
Well, you may be right, but it looked (and looks) different to me. I'm
looking at why multicellular organisms exist, and why complementary
cooperative structures have evolved to be so prevalent. There is no
scintilla of "helping" in my diagram, since neither ECS can perceive any
aspect of the CEV that corresponds to the other's controlled perception.
BOTH act quite independently on controlling perceptions according to their
independent reference signals, and it is only a strange vagary of the
environment that lets an outside analyst see that there is some interaction
between the two CEVs and therefore between the two control loops.
I'm not sure what you mean, Martin, when you say my modeling of
interactions between various combinations of agents looks different from
what you proposed. True, I did not have as my specific goal, "looking at why
multicellular organisms exist, and why complementary cooperative structures
have evolved to be so prevalent." In that line of questioning, I wish you
well. Questions of that magnitude are far to ambitious for me! What I
have done is try to study interacting control agents. Some of them
are models that can be diagrammed without one scintilla of helping in them.
I want to see how various combinations of those agents use the same
environmental givens ("affordances?") to create interactions that people
identify by such labels as interferance, cooperation, control of one by the
other, helping or aiding, and so on. The examples I use are variations on
trasking tasks, and the participants are people and PCT models, but I
believe the results are general, so they would apply to the cells and
"simple" organisms that would inhabit your imagined early world.
In my demonstrations, each of the models acts to control its own perceptual
signal, nothing more. When a set of models imitates a set of people, or
when a model interacts on-line with a person, the result as seen by an
observer is one of the several possible varieties of coordinated action I
listed earlier. Sometimes the participants are also aware of the kind of
interaction. Sometimes unilateral or mutual interference can occur with one
or both of the particiants unaware that it even occurs. Sometimes control
of the actions of one agent by the other agent can occur without the
recipient of control being aware; so can "aiding" or "helping." Certainly
there is no such awareness in the interacting PCT models. But when people
cooperate, they know it. Even then, the models that duplicate the
cooperative results do not "know" what they are doing.
Martin, how are these demonstrations different from what you propose?
···
================================
Tom now:
I believe some parts of the following exchange between Martin and Rick raise
serious questions we should discuss on the net. As Martin indicates at one
point, I believe some strong residues of "other ways of thinking" still lurk
in the background and lend confusion to our discussions.
[Martin Taylor 931013 16:00]
(Rick Marken 931007.1600)
Martin earlier:
Sure, but just where IS the closure of the feedback loop before the
word is spoken. Remember, it is spoken once and then is gone.
Rick:
It occurs WHILE the word is spoken. Remember the Kelso, et al and
Abbs et al studies of compensation for disturbance to lip movement
WHILE a word is being uttered? This is what I'm thinking of; as the
person says "flunky" they are controlling (continuously, over time)
the progress of all the lower order perceptions that make up this
event (so nicely defined now by W. T. Powers).
Martin:
No problem here, except that I don't see how the on-line (real-world)
perceptual control that always happens at these levels can be used to
account for the different outputs of the "same" word when there are
different situational contexts. ....
Tom now:
Martin, are you saying that on-line perceptual control cannot account for the
necessarily variable actions ("outputs") that result in the same perceptions
in the presence of disturbances ("different situational contexts")? Or do I
just terribly misunderstand that sentence?
Martin earlier:
I'm saying that the closure is in imagination.
Rick:
Why? The fact is that we continuously hear what we are continuously
articulating; the loop is closed IF what we articulate also depends
on what we hear (and there is tons of evidence that it does -- eg.
the delayed speech studies).
Martin:
The closure of the perceptual control loop at levels near the actual
articulation is not in imagination. But there is a timing problem with
the dynamics of control at higher levels, if that control is through
the real world. The perception to be controlled is ultimately that
the listener acts in some manner or other. That is akin to a ballistic
control problem. In ballistic control, one shoots a bullet, and corrects
the aim for the NEXT shot according to the resulting error. But one is
much less likely to use a next shot if one has an accurate telescopic
sight. Likewise in using language, one can be misunderstood, as one can
determine from an unwanted perception of the listener's actions. It is
much better if one does not have to correct one's first linguistic aiming
point. That aiming point is constructed in imagination. The shooter of
the bullet controls the arm muscles on-line, but corrects the aiming error
off-line, between shots. So with the shooter of words.
\--------------------------------------------------------/
Tom now:
Martin, your reply to Rick raises severl questions for me. In it, and in
many other posts during our various rounds of discussions on speaking, I
have seen statememts that we control our outputs or that we control our
muscles. In what sense do you mean that here? I know that seeing statement
like those will always make me wonder if the writer and I are talking anobut
the same theory of behavior. I suspect Rick is reacting similarly, but more
often and more pointedly than I.
A few specific points on the material I just quoted. First, to me it looks
as though you dismiss or attach litle significance to the extensice
liteature on the effects of delayed speech. Why so? Second, I am a shooter
-- both of words and bullets. One of the first things I learned was that a
marksman (today, marksperson?) -- shooter should not try to "control" the
muscles. Most inexperienced shooters try to hold their muscles perfectly
still in the "correct" place. It doesn't work. Instead, the shooter
points the gun slightly above the target, then lowers it and looks
at and controls the trajectory of the sight as it drops slowly across the
target. The shot is squeezed off while the muzzle is descending across the
target. The shooter does not, indeed cannot, hold the muscles and gun
motionless. (Excluding shots fired from a bench or a mount; after sighting
in, those are all open loop.) I do not hunt; I shoot for the pleasure of
achieving that kind of control of perception -- control of perecption, not
muscles or outputs.
So with the shooter of words.
/------------------------------------\
Martin earlier:
If there is error in the
imagined percept of the category of the spoken word, the appropriate
changes in output are done in the normal way.
Rick:
Your introduction of this unnecessary imagination loop has created
on output generation (open loop) model. This is fine, but it will not
produce consistent results in variable contexts -- the very thing
you said my model (PCT) could not do (and which, in fact, it can).
Martin:
I didn't say it wouldn't. I asked you to show how it would, without
the arm-waving appeal to "All actions take place in an environment so
disturbed that only on-line control can account for accurate action."
In fact, lots of actions can, most of the time, produce "fire-and-forget"
accurate results that support the control of higher-level perceptions.
These are useful when the world is likely to provide substantially delayed
feedback.
\----------------------/
OK, Martin, but "fire-and-forget" works only in a disturbance-free world --
exactly Rick's point. Often it only works *qualitatively*, creating
results "sort of like" the intended or planned output. The technique fails
when there are very many "different situational contexts." In fact, the
technique usually fails quantitatively even if there are NO discernable
environmental disturbances. That is especially true when the intended
result is a particular "output." I'll describe a simple case.
I am finishing a paper that describes a few demonstrations I prepared for
"Models and their worlds," but Bill and I did not use them --the paper was
too already long. In the demonstrations, a person and a PCT model each "act
like" the two lineal models from "Worlds" -- a S-R model and a plan-driven
model. In both lineal models, behavior occurred as a controlled output. The
lineal plan-driven model simply made its momentary handle position match the
momentary value of the target function from an earlier experimental run; the
model had a "perfect memory" and a "perfect plan" for its actions. A
simplified plan-driven model like that cannot fail to reproduce the
remembered plan.
A PCT model can easily duplicate the performance of the lineal model. All
that is needed is a reference signal that is a time-indexed file of
intended hand positions. At each moment, the model compares its perceived
hand position against the momentary reference position and the rest you
know -- standard PCT control.
The story is different for a person. At least it is for this person. I
have been tracking the same triangular target function for over nine years.
I have performed thousands of replications, under various experimental
conditions and while developing different programs. I should know the
pattern by now. The pattern is a triangular wave, with the target moving
up and down on the screen at uniform velocity -- the same one for nine
long years! The target is two short horizontal lines moving vertically
/|\
t c t |
--- --- --- \|/
with a cursor in between. The positions plotted against time would look
like this:
/\ /\ /\
/ \/ \/ \. The task runs for one minute with a new target
position every 1/30 second, for a total of 1800 positions vs time. There
are 11 upper peaks on the complete function -- I know this baby well!
For the paper, I practiced the task 22 times, with my hand covered by a
piece of cardboard. I concentrated on the feelings as I succesfully made
the cursor track the target. My intention was to perform the pattern of
movements during runs of the task when the screen went blank as soon as the
run began. (A slight case of reversible "deafferentation.") My
*impression* is that I could do this task in my sleep. That is a mistake.
For data collection, I ran 16 replications with my hand covered and the
screen blanked after the first few seconds of the run-in period on each
replication. For each run, I correlated the positions of my handle with
the positions in the target -- 1800 pairs of points in each of the
16 replications. The result? The mean of the 16 correlations was -.003.
The slightest error in my handle velocity, or in the point at which I
reversed the direction of the handle, threw the actual and ideal functions
out of alignment, and there were many such "lapses" on my part during each
run, in spite of my trying hard enough to end the evening with a mild
headache.
I have done this procedure more informally many times over the years, and
have asked other experienced trackers to try it. The results are always the
same. *Qualitatively*, the actual handle function *always* "looks sort of
like" the ideal one. *Quantitatively*, pre-planned "fire-and-forget" action
does not work. If experienced people cannot move a tracking handle to
accurately and reliably reproduce a heavily-practiced triangular waveform, I
wonder how well they would do at producing discourse?
Enough. My reactions to the exchange between Martin and Rick are
about (1) an impression (mine) that some people are saying when we speak we
control our output, and (2) the idea that pre-planned, canned, plan-driven,
programmed, command-driven actions are *quantitatively* accurate and
reliable.
Until later,
Tom Bourbon