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Lecture 8: Knowledge

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Categories are 'pointers to knowledge' If you encounter ... Good exemplars: sparrow, robin. Prototypes look like a combination sparrow-robin (sparrobin? ... – PowerPoint PPT presentation

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Title: Lecture 8: Knowledge


1
Lecture 8 Knowledge
Psyc 317 Cognitive Psychology
2
Todays agenda
  • Approaches to Categorization
  • Definitions
  • Prototypes
  • Exemplars
  • Is there a special level of category?
  • Semantic Networks
  • Connectionism
  • Categories in the brain

3
Categories are important
  • Categories are pointers to knowledge
  • If you encounter something new but can categorize
    it
  • Know some properties of the object
  • Can make inferences about the objects
    relation to other objects
  • If we didnt have categories, wed be very
    confused

4
So you encounter something new
5
Definition approach to categories
  • Something is a category member if it
  • meets the definition
  • Seat
  • Back
  • Four Legs
  • Its a chair!

6
Definitions work, dont they?
All chairs! Hmmm
7
So definitions dont work
  • Imagine the category of games
  • Sports, video games, board games, etc.
  • But there still are some similarities
  • Wittgensteins (1953) concept of family
    resemblance
  • Things in a particular category resemble each
    other in some ways
  • Family resemblances allow for variation

8
Prototype approach to categories
  • Prototype of a category Formed by
  • averaging category members
  • An object belongs in a category if it is
  • similar to the prototype


?
9
Prototype Example
10
Differences in Prototypicality
  • High prototypicality Object closely resembles
    category prototype
  • Low prototypicality Object does not resemble
    prototype
  • Rosch (1975) - 50 members of different
  • categories
  • Rate how good an example the object is of
    that category

11
Rosch Typicality Ratings
12
Prototypical Objects Have High Family Resemblance
  • Prototypical objects share lots of common
    features
  • Example
  • What are the common features between chair and
    sofa?
  • What about mirror and drawers?

13
Statements About Prototypical Objects Are
Verified Rapidly
  • Example Sentence Verification Technique
  • Are the following sentences true?
  • An apple is a fruit.
  • A pomegranate is a fruit.
  • A tomato is a fruit.
  • Apple is prototypical, RT to Yes is fast
  • Pomegranate and tomato are less prototypical,
    RT to Yes is slow

14
Smith et al. (1974) Results
15
Prototypical Objects are Named First
  • Mervis et al. (1976)
  • Demo Name all the canines (NOT breeds) you
    can think of
  • People name dog before coyote

16
Prototypical Objects More Affected by Priming
  • Rosch (1975)
  • Hear category name as priming stimulus
  • Then see two objects from the category
  • High prototype objects
  • Low prototype objects
  • Are the objects same or different?

17
Rosch Results
610 ms
Hear Green
780 ms
18
Why does this occur?
  • Green activates prototype for green
  • Good greens lead to faster RTs
  • Bad greens are not activated, lead to longer
    RTs

19
Prototype SummaryHigh prototype objects
  • Family resemblance Have more in common
  • Typicality Faster in sentence verification
    tasks
  • Naming First to be named
  • Priming Are faster judged as similar
  • when category is given as a prime

20
Exemplar approach to categories
  • Prototypes Average case of a category
  • Exemplars Actual common examples

21
Exemplars Prototypes
  • Good exemplars and prototypical
  • objects are often really similar
  • Good exemplars sparrow, robin
  • Prototypes look like a combination
    sparrow-robin (sparrobin?)
  • High family resemblance

22
Teasing apart a difference
  • Question How do subjects place new objects in a
    category?
  • Prototype Average together given cases
  • Exemplar Use information about each case to
    categorize

23
Medin et al. (1992) Burlosis!
  • Create a new category a fake disease called
    burlosis
  • Give subjects example case studies with
    symptoms
  • How do people create the burlosis category?
  • Prototype Average cases together
  • Exemplar Use information about each case

24
Training Category creation
  • Correlated condition Nosebleed discolored gums
    always occurred together
  • Uncorrelated Those two symptoms did not occur
    together

Correlated Condition
25
Burlosis Predictions
  • If prototype, average case should be created
    (all symptoms together)
  • All symptoms were similar in both conditions
  • Correlation should not matter
  • If exemplar, common example should be used
    (correlation of two symptoms)
  • Correlated symptoms were good exemplars of
    burlosis
  • Correlation should matter

26
Test New case categorization
  • Subjects given test cases to diagnose (classify
    new objects in a category)
  • All test cases had the same average number of
    symptoms
  • Prototype Correlation should not matter
  • Exemplar Correlation should matter

27
Burlosis Results
Correlation matters!
Participants based diagnosis on
patterns/exemplars
28
What does this show?
  • People were using exemplars because they were
    using the correlated information in diagnosis
  • If people were using prototypes, correlated
    information should not have mattered in training
    or in test

29
Fine line between prototypes and exemplars
  • How do the two coincide?
  • Common thinking
  • As we first learn category exemplars, we
    average them to form a prototype
  • Add exemplars as exceptions to the
    prototype

30
Outline
  • Approaches to Categorization
  • Definitions
  • Prototypes
  • Exemplars
  • Is there a special level of category?
  • Semantic Networks
  • Connectionism
  • Categories in the brain

31
Levels of categories
Rosch says basic level is special
32
Why is the basic level special?
  • Demonstration!
  • List as many features that are common
  • to all or most items in each category
  • Furniture
  • Table
  • Kitchen table

33
Rosch et al. (1976)
Average number of features listed
34
Name each object
35
Object naming demo
  • Everyone used the basic level guitar, fish,
    pants
  • Not superordinate instrument, animal, clothing
  • Not subordinate rock guitar, trout, Levis

36
Basic level is fast(Rosch et al., 1976)
  • Show participants category label (car, vehicle,
    etc.)
  • Show picture of object from category
  • Time to verify picture is a member
  • Basic level RT lt Superordinate level RT

37
Knowledge affects categorizationTanaka Taylor
(1991)
  • 2 groups bird experts and nonexperts
  • Ask participants to name pictures of all kinds
    of objects (tools, flowers, birds)
  • How do bird experts and nonexperts categorize
    birds?

38
Tanaka Taylor Results
39
Culture affects categorizationColey et al. (1997)
  • Maya Itza - Guatemalan tribe
  • Live close to their natural environment
  • Identified local plants and animals at
    subordinate category (oak tree)
  • Identified non-native plants and animals as the
    basic level category (flower)

40
Outline
  • Approaches to Categorization
  • Definitions
  • Prototypes
  • Exemplars
  • Is there a special level of category?
  • Semantic Networks
  • Connectionism
  • Categories in the brain
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