Required Reading:
recommended:
- Bateson, Gregory "Communication."
in The natural history of an interview. Edited by Bateson,
Birdwhistell, Brosin, Hockett, McQuown, and Fromm-Reichmann. Chicago:
University of Chicago Library Microfilm Collection of Manuscripts
Cultural Anthropology, series 15, Nos. 95-98
- Goffman, Erving Interaction ritual: Essays in face-to-face behavior.
Chicago: Aldine. 1967. (Chapters 1 & 2)
- Nadel, S.F. "Social control and self-regulation" in Modern
systems research ... 401-408
Transition notes |
Note the theoretical progression over the past few weeks from
- the observation (intuition) of a pattern (gestalt, system):
Benedict
TO
- the identification of the systematic (synchronic) features of
the gestalt: Saussure
TO
- the complexities of the factors and functions (Jakobson and
Hymes) that can be made part of the pattern and influence how
it is actualized or experienced
We are now moving to an investigation of the processes that might
account for the systematization (structuration?) of elements (borrowed
items out of diffusion and "new" items out of social evolution). |
|
How to make things happen with, within, against,
a (poetic) (live) (unpredictable)
polity ("community") :
a matter of ongoing structuring producing temporaty (synchronic) orderings:
in other words, (not homeostatic, diachronically, evolving) SYSTEMS
Starting in the 1940s, and from many disciplines, has emerged a
concern with non-linear interactions, that is interactions that make new
conditions for future interactions, that is interactions that cannot be
reproduced by the application of the rules that appear to have led to
the initial conditions. This concern led to what was first known as "systems
theory" and may now be known as "chaos theory" or "complexity
theory."
I approach these theories as a focused explorations of G.H.
Mead intuitions about human communication being best understood as
a "conversation of gestures" in which two (at least) persons
(or, best, personae) enter in contact, establish a channel, etc. (see
Jacobson), and discover
that they must take the "other" (the "third") into
account in the shaping of their own "next" messages.
In the background, and for our purposes, is a critique of one of the
most common sense theory of communication and one of its major consequences:
- that communication has to do with the transfer of bits of information
from one person to the next (and thus with articulation, coding, and
reception), and
- that, if we understand the conditions (context, intention, code, etc.)
we can predict (or "explain") what is communicated and thereby
tinker with these conditions to attain a state of unhindered transfer
of information
Communication, from my point of view, has to do with getting people to
act together (cum-unique-action). Transferring information is less central
than getting the miscellaneous units of some potential group to do something
uniquely appropriate to the moment to happen. In this context the
issue for a speaker is not simply to transfer "meaning." It
is to convince someone else to do something. The issue, from a research
perspective is figuring out what is involved and what can happen (It is
not to figure out what are the independent variables and what will happen
when these are manipulated.
Historically:
- the need to design machines that change concurrently with
changes in what they are targeting. From:
- Ballistic guidance (only possible at the
moment of lauch); e.g. canon shells. TO
- self-correcting guidance; e.g. "smart
bombs": the need for mechanisms to
- sense the other
- change one's own behavior
- Bateson once analogized the difference as that between
kicking a stone (that will move ballistically) and kicking a dog
that will move not only ballistically but in other ways, using his
own energy to add a more complex form of response (from fleeing
to turning around and biting)
- Technically, the question is one of "teleology"
(purpose)--change to change. This is not so much a matter of
- identifying the "goal" (what could the "goal"
of a machine be?)
as of
- understanding the mechanisms involved in making machines
that
- adapt
- change
- learn
in reaction to other machines as they themselves
- adapt
- change
- learn
- Mathematical explorations of these matters include such
matters as
- "Cellular
automata."
- complexity
theory and
- models of how flocks of birds fly could this model children playing in a couryard? in a classroom?
- another example of this for modeling musical improvisation
by Tim Blackwell
(2002):
(you may want to check first the summary
of this research written for a popular audience)
- And returning to human beings organizing each other:
- Garfinkel on traffic on a Los Angeles freeway. Note that this is partially modeled by Craig Reynolds as
"Crowd path following" (He also modeled queueing behavior, another of Garfinkel's
recent interest, as "queuing".
- System theory should thus not be approached as
- a theory of homeostasis in circular system (with
the thermostat as basic analogy)
but rather as
- a theory of evolution in history
- A <---> B
but
- A1 ----> B1
|
V
A2 ----> B2
- A theory of local interactional uncertainty within reconstructed
constraints: e.g. "negotiating
pain" during hospital labor
Some questions
(in the context of this course) |
- In what way can one say that a classroom is
(not) a system?
- How might G.H. Mead's discussion of the conversation
of gesture be related to our discussion of systems?
- What does the analogy of a man kicking a dog
stress in our understanding of systematicity in interaction?
|