Fodor - PowerPoint PPT Presentation

1 / 56
About This Presentation
Title:

Fodor

Description:

Fodor s Problem: The Creation of New Representational Resources Descriptive Problem C1-C2, what s qualitatively new? Explanatory Problem learning mechanism? – PowerPoint PPT presentation

Number of Views:70
Avg rating:3.0/5.0
Slides: 57
Provided by: SusanC229
Category:

less

Transcript and Presenter's Notes

Title: Fodor


1
Fodors Problem The Creation of New
Representational Resources
  • Descriptive ProblemC1-C2, whats qualitatively
    new?
  • Explanatory Problemlearning mechanism?

2
Fodors 2 line argument
  • Hypothesis testing the only learning mechanism we
    know.
  • Cant test hypotheses we cant represent thus
    hypothesis testing cannot lead to new
    representational resources.

3
Meeting Fodors Challenge
  • 1) Descriptive Characterize conceptual system
    1 (CS1) at time 1 and CS2 at time 2,
    demonstrating sense in which CS2 transcends, is
    qualitatively more powerful than CS1.
  • 2)Explanatory Characterize the learning
    mechanism that gets us from CS1 to CS2.

4
Case Study for Today
  • Number. Two core systems described in
  • Feigenson, Spelke and Dehaene in the TICS in your
    package.
  • --1) Analog magnitude representations of number.
    Dehaenes number sense.
  • --2) Parallel representation of small sets of
    individuals. When individuals are objects,
    object indexing and short term memory system of
    mid-level vision (Pylyshyn FINSTs, Triesmans
    object-files.)

5
The Descriptive Challenge
  • CS1 the three core systems with numerical
    content described last time.
  • Analog magnitude representations
  • Parallel Individuation
  • Set-based quantification of natural language
    semantics
  • CS2 the count list representation of the
    positive integers

6
Transcending Core Knowledge
  • Parallel Individuation
  • --No symbols for integers
  • --Set size limit of 3 or 4
  • Analog Magnitude Representations
  • --Cannot represent exactly 5, or 15, or 32
  • --Obscures successor relation
  • Natural Language Quantifiers
  • --Singular (1), Dual (2) sometimes Paucal or
    Triple (3 or few), many, some
  • --No representations of exact numbers above 3

7
Interim conclusion
  • 1) infants represent numberyes, but not
    natural number. Specify representational
    systems, computations they support, can be
    precise what numerical content they include
  • 2) Descriptive part of Fodors
    challengecharacterized how natural number
    transcends (qualitatively) input (the three core
    systems)
  • --Infants, toddlers less than 3 ½, people with no
    explicit integer list representation of number
    (e.g., Piraha, Gordon, in press, Science), cannot
    think thoughts formulated over the concept seven.

8
Descriptive Challenge
  • Met by positive characterization of CS1, CS2
    (format, content of representational systems,
    computations they enter into)
  • Also important evidence for difficulty of
    learning. (a seems understand with adult
    semantic force as soon as it is learneda blicket
    vs. a blickish one, a ball vs. some balls, a dax
    vs. Dax) in constrast children know the words
    two and six, know they are quantifiers
    referring to pluralities for 9 to 18 months,
    respectively, before they work out what they mean.

9
Wynns Difficulty of Learning Argument
  • Give a number
  • Point to x
  • Whats on this card
  • Can count up six or ten, even apply counting
    routine to objects, know what one means for 6
    to 9 months before learn what two means, takes
    3 or 4 months to learn what three, and still
    more months to learn four/induce the successor
    function.

10
Whats On This Card? Procedure
11
1 knowers. Use two for all numbers gt 1. (N
7 mean age 30 months)
12
Two knowers Have mapped one and two. Use
three to five for all numbers gt 2. (N 4
mean age 39 months)
13
LeCorres studies
  • Within-child consistency in knower-levels on
    give-a-number and whats on this card
  • Two used as a generalized plural marker by
    many one knowers.
  • Partial knowledge of one, two, three- knowers
    does not include mapping to analog magnitudes.

14
Interim conclusions
  • Further evidence for discontinuity. If integer
    list representation of natural number were part
    of core knowledge, then would not expect have
    identified the English list as encoding number,
    know what one means and that two, threeeight
    contrast numerically with one (more than one),
    but dont know what two means.
  • Constrain learning story, because tell us
    intermediate steps.

15
Descriptive Challenge
  • Systems of representations not part of core
    knowledge might not be cross-culturally
    universal.
  • Peter Gordons Piraha, Dehaene et al.s
    Munduruku. Same issue of Science

16
Cultures with no representations of natural
number?
  • First generation of anthropologists
  • 19th century colonial officers
  • Many cultures with natural language quantifiers
    only (1, 2, many, or 1, 2, 3, many)
  • Much variety in systems that could represent
    exact larger numbers, intermediate steps to
    integer lists with recursive powers to represent
    arbitrarily large exact numbers.

17
Is existence of 1-2-many systems a myth?
(Zaslavsky, 1974 Gelman Gallistel, 1978)
  • Innumerate societies or alternative counting
  • Systems?
  • Finger Gestures, Sand Marking, Body Counting
    System
  • Non-Decimal Systems (e. g., Gumulgal, Australia)
  • urapun, 1
  • okasa, 2
  • okasa urapun, 21 ( 3)
  • okasa okasa urapun 221 ( 5)
  • Counting Taboos

18
The Pirahã Peter Gordon, Columbia University
  • Hunter-gatherers
  • Semi Nomadic
  • Maici River (lowland Amazonia)
  • Pop about 160 - 200
  • Villages 10 to 20 people
  • Monolingual in Pirahã
  • Resist assimilation to Brazilian culture
  • Limited trading (no money)
  • No external representations (writing, art, toys )

19
(No Transcript)
20
(No Transcript)
21
The Pirahã
22
(No Transcript)
23
(No Transcript)
24
(No Transcript)
25
Quantifiers in Pirahã
  • hói (falling tone) one
  • hoí (rising tone) two
  • baagi many

26
Pirahã Numbers
  • No evidence of taboos or base-3 recursive
    counting
  • Pirahã directly name numerosities rather than
    counting them
  • Number words are not consistent, but are
    approximations
  • Finger Counting?
  • Yes, finger representation of number but not
    counting

27
Eliciting Number Representations
  • Lemons Number word Fingers
  • 1 hói
  • 2 hoí 2
  • baagi
  • 3 hoí 3
  • 4 hoí 5 - 3
  • baagi
  • 5 baagi 5
  • 6 baagi 6 - 7
  • 7 hói 1 - 8
  • 8 5 - 8 - 9
  • 9 baagi 5 - 10
  • 10 5

28
Non-linguistic Number Representation Tasks
  • Core knowledge evidence for
  • --Small, exact, number of objects. Parallel
    individuation of 3 or 4 object files?
  • --Large approximate number. Analog magnitude
    representations?
  • Any evidence for representation of large exact
    number, even in terms of 1-1 correspondence with
    external set?

29
Peter Gordons Studies
  •      Can the Piraha perceive exact numerosities
    despite the lack of linguistic labels?
  •      Developed tasks that required creation of
    numerosity. Could be solved without counting if
    used 1-1 correspondence with fingers, or between
    objects.
  •      Progressively more difficult
  •   One-to-one mapping
  •   Different configurations
  •   Memory representations of number

30
Limitations
  • Carried out in 2 villages in 6 weeks
  •      Very limited language skills
  •      Total of 7 subjects, most tasks only have 4
    to 5 subjects
  •      Payment for participation (food, beads
    etc.), but easily bored
  •      Dont annoy your subjects, they might kill
    you

31
(No Transcript)
32
One-to-One Line Match
33
Line Copying
34
. Line Draw Copy
35
(No Transcript)
36
Cluster-Line Match
37
Orthogonal Line Match
38
Brief Presentation (Subitizing)
39
Nuts-in-Can Task
40
Averaged Responses Across Tasks
41
Evidence for Analogue Estimation
  • Mean Responses track target values perfectly
  • (rules out performance explanations)
  • Coefficient of variability constant over 3.
  • Estimation follows Webers Law
  • Comparable to studies with larger n, human
    adults without counting, and with animals and
    infants

42
Summary of Number Studies
  • Small numbers Parallel Individuation (accurate)
  • Large Numbers Analog Estimation (inaccurate)

43
Conclusions, Gordons Studies
  • Pirana have only core knowledge of number
  • Natural language quantifiers,
  • Analog Magnitude Representations,
  • Parallel Individuation of Small sets of objects
  • Further evidence that positive integers not part
    of core knowledge, require cultural construction

44
Intermediate Systems
  • 1) External individual files. (Fingers, pebbles,
    notches on bark or clay, lines in sand).
    Represents as do object files, 1-1
    correspondence. Exceeds limit on parallel
    individuation by making symbols for individuals
    external.
  • 2) External individual files with base system
  • 3) Finite integer list, no base system
  • 4) Potentially infinite integer list, base
    system
  • ALL THIS IN ILLITERATE SOCIETIES. SEPARATE
    QUESTION FROM WRITTEN REPRESENTATIONS OF NUMBER

45
Explanatory Challenge Quinian Bootstrapping
  • Relations among symbols learned directly
  • Symbols initially partially interpreted
  • Symbols serve as placeholders
  • Analogy, inductive leaps, inference to best
    explanation
  • Combine and integrate separate representations
    from distinct core systems

46
Bootstrapping the Integer List Representation of
Integers
  • How do children learn
  • The list itself?
  • The meanings of each word? (that three has
    cardinal meaning three that seven means
    seven)?
  • How the list represents number (for any word X
    on the list whose cardinal meaning, n, is known,
    the next word on the list has a cardinal meaning
    n 1).

47
Planks of the Bootstrapping Process
  • Object file representations
  • Analog magnitude representation
  • (Capacity to represent serial order)
  • Natural language quantificational semantics
  • (set, individual, discrete/continuous more,
    singular/plural)

48
A Bootstrapping Proposal
  • Number words learned directly as quantifiers, not
    in the context of the counting routine
  • One is learned just as the singular determiner
    a is. An explicit marker of sets containing
    one individual
  • The plural marker -s is learned as an explicit
    marker of sets containing more than one
    individual.

49
continued
  • Two, three, four are analyzed as quantifiers
    that mark sets containing more than one
    individual. Some children analyze two as a
    generalized plural quantifier, like some.
  • Two is analyzed as a dual marker, referring to
    sets consisting of pairs of individuals. Three,
    four, contrast with two.
  • Three is analyzed as a trial marker.

50
Tests
  • Role of natural language quantifier systems in
    earliest partial meanings. One-knowers.
    Chinese (Li, LeCorre et al) and Japanese
    (Sarnecka) toddlers become one-knowers 6 months
    later than English toddlers, in spite of equal
    number word input (counting routine, CHILDES data
    base)
  • Russian one-knowers make a distinction between
    small sets (2, 3 and 4) and large sets (5 and
    more), as does their plural system (Sarnecka)

51
continued
  • Meanwhile, the child has learned the counting
    routine.
  • Child notices the identity of the first three
    words in the counting routine and the singular,
    dual, and trial markers one, two, three.
  • Child notices analogy between two distinct
    follows relationsnext in the count list, and
    next in series of sets related by open a new
    object file.

52
continued
  • InductionIf X is followed by Y in the
    counting sequence, adding an individual to an X
    collection results in what is called a Y
    collection.
  • Adding an individual is equivalent to adding
    one, because one represents sets containing a
    single individual.

53
Surprising Conclusion
  • One of the evolutionarily and ontogenetically
    ancient systems of core knowledge that underlie
    mature number representations (Core System
    1analog magnitudes) seems to play no role in the
    construction of natural number.
  • Becomes integrated about 6 months later (LeCorre)
    and greatly enriches childrens number
    representation.

54
Quinian Bootstrapping
  • Relations among symbols learned directly
  • (one role for explicit symbols in language
    general to all Quinian Bootstrapping)
  • Symbols initially partially interpreted (second
    role for language in this case, idiosyncratic,
    quantifier meanings as source of meaning).
  • Symbols serve as placeholders
  • Analogy, inductive leaps, inference to best
    explanation
  • Combine and integrate separate representations
    from distinct core systems

55
New representational power
  • Obtained by integrating representations from
    distinct constructed and core systems.

56
Conclusions
  • Other case studies rational number, theory
    changes in childhood and in history of science
  • Parts of this overall process have been formally
    modelled (e.g., structure mapping models of
    analogical reasoning) others could be.
  • Proposal can be tested short of that however
    (e.g., training studies, cross-linguistic
    studies).
  • Uniquely human learning mechanism (because of
    role for external symbols, serving as
    placeholders.
Write a Comment
User Comments (0)
About PowerShow.com