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Overview

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Ling 100, 2007w, Term 2, Lecture 4. 3. What does it meant to say that ' ... Cybernetics was the first formal attempt to impose bi-directionally: ... – PowerPoint PPT presentation

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Title: Overview


1
Overview
  • This week
  • W Bateson on cybernetic explanation
  • TA office hours 230 - 4pm
  • Th TA office hours 11am - 1230pm
  • F Tutorial
  • Return and discuss Quiz 1
  • Exercise A DUE!
  • Form study groups
  • Discuss communicative systems

2
Language as a Communicative System
  • Batesons (1972) cybernetic explanation

3
What does it meant to say thathuman language is
a communcative system?
  • Some attempts to define necessary and sufficient
  • conditions that characterize human communicative
    systems
  • Bolingers (1975) language traits
  • Hocketts (1966) design features
  • III. Batesons (1972) cybernetic explanation

4
(No Transcript)
5
Clues from language
  • Fill in the blank
  • The Ling100 lectures lac___ zip.
  • I wonder if ___ will rain today.
  • Rose-Marie let the cat out of the ____.
  • (context someone has suffered a memory loss)If
    this is a Ling100 lecture, then today is either
    ________ or ________
  • Describe the situationThe vlatch is brooning
    all the preezes.
  • Does this sentence describe a time-stable state
    or a dynamic event?
  • At what time does the action take place?
  • How many event participants are there?
  • Which entity is performing the event? (Agent?)
  • Which entity is affected by the event?
    (Theme/Patient?)

6
Communication by Humans and Machines
  • Cybernetics was the first formal attempt to
    impose bi-directionally
  • Machine formalism on problems of human
    communication.
  • e.g., machine translation from one language to
    another
  • Human attributes of communication on machines.
  • e.g., information-based regulation and
    optimization of internal states.
  • gt Fifty years later humans are often described
    with machine terms, machines are
    anthropomorphized.

7
How cybernetic explanationhelps us to understand
language
  • Negative Explanation
  • Restraints (aka constraints)
  • Context versus Content
  • Pattern and Redundancy
  • Levels of Observation/Explanation
  • Feedback
  • Map and Territory
  • Stimulus-Response vs. Cause-Effect
  • Induction and Deduction

8
1. Negative Explanation
  • One way to describe something is to ask what it
    is not, rather than to ask what it is.
  • Ex Empirical tests of the statistical null
    hypothesisNOT A and B are different, (A ?
    B)BUT We failed to show that A and B are the
    same (NOT A B)
  • Ex2 Given an alphabet of 26 letters and the need
    for one letter to be present, the presence of the
    letter k can be explained by the absence of the
    other 25 letters.
  • Q Are negative explanations sufficient?

9
2. Restraints
  • A process can be described negatively via
    constraints
  • (a.k.a. restraints)
  • as opposed to via positive properties
  • Ex The spelling and order of the words are
    determined by specific constraints (i.e., things
    you cant do in English).
  • From a cybernetic point of view, a word in a
    sentence, or a letter within the word, are
    to be (negatively) explained by an analysis of
    restraints. (Bateson 1972406)
  • Q Must two systems share the same constraints in
    order for communication to occur?

10
3. Context vs. Content
  • The content of observable events is given form by
    the context in which it occurs.
  • Context is crucial for explaining contents.
  • Communication is mainly about context.
  • Ex The word falls needs to occur in a larger
    utterance for you to know whether it refers to a
    waterfall (i) or to the act of falling down (ii).
  • (i) I saw Niagara falls last year(ii) Mary
    falls all the time
  • Q How does context make not doing some action
    meaningful?I.e. What is the content of inaction?
  • Q How does context make not doing some action
    meaningful?

11
4. Pattern and Redundancy
  • Differences in occurrence are determined by
    constraints on context, whose lawfulness ensures
    observable patterns of recurrence.
  • Redundancy exists when content can be predicted
    from context.

12
5. Levels of Observation/Explanation
  • Thanks to context, informational systems are
    hierarchical.
  • Negative explanation may become positive at one
    level when superceded by negative explanation at
    a higher level.
  • Ex Choosing the word clear from a set of
    possible alternates,I can say positively that I
    know something about clear.
  • clear vs. clean, cleave, cleat, etc.I know that
    /r/ is contrastive in the sound system of
    English.
  • clear vs. clearer, clearestI know that clear is
    a possible word-form in English.
  • The sky is clear, vs. Sally will clear the
    tableI know something about the syntax of clear.
  • clear vs. overcast, cloudy, stormy, etc.I know
    something about the meaning of clear in English.
  • Q How does selecting the word clear reflect
    knowledge of its contexts of use?

13
Linguistic Levels of Observation/Explanation
14
6. Feedback
  • Feedback provides a system with information about
    its internal condition.
  • Complex systems generally depend on both external
    and internal information.
  • Ex As the noise level of a party increases, you
    speak louder in order to be heard.

15
7. Map versus Territory
  • The map is not the territory (Korzybski)The
    name is not the thing named.
  • This fundamental truth makes communication
    possible, but makes the study of communication
    very difficult.
  • Ex Imagine if, when you ordered a hamburger, all
    you received was a small piece of the menu card.
  • Ex2 Imagine if, when you discovered that a map
    failed to show a road that was actually there,
    the road would be removed.
  • Q How do we distinguish map from territory?

16
8. Stimulus-Response vs. Cause-Effect
  • Communication systems are not causal.
  • Events are not determined by immutable
    constraints on the system.
  • Ex The third time you ask me the same question,
    I may refuse to answer.
  • Q Is a stimulus-response system an open system?

17
9. Induction and Deduction
  • INDUCTION
  • Bottom-up empirical observations give rise to
    higher-order generalizations
  • Data-driven generalizations
  • Emergent generalizations
  • Statistical and probabilistic
  • Disadvantage a data set (corpus) can have
    accidental gaps that make it impossible to detect
    certain patterns
  • DEDUCTION
  • Top-down theory generates hypotheses that
    predict existence of certain patterns
  • Theory-driven generalizations
  • Postulated generalizations
  • Categorical
  • Disadvantage a theory can make the observer
    blind to certain patterns (if you have a hammer,
    everything looks like a nail)
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