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Overview

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Cannot explain typicality effects: a German shepherd is a better example of a ... more typical examples (e.g., German shepherds; apples) than less typical ... – PowerPoint PPT presentation

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Title: Overview


1
Overview
  • Theories of categorization
  • Classical view
  • Prototypes
  • Exemplar theories
  • The role of similarity
  • The role of beliefs and implicit theories
  • Category learning

2
Concepts
  • We use concepts in everyday thinking and
    interacting with objects
  • Classifying objects
  • Referring to objects in communicating
  • Applying our general knowledge
  • Dealing with novel items -- we look for
    similarities to items that we already know about
  • Making inferences

3
Classical view
  • Categories have boundaries. An item is either a
    member or not a member.
  • Items must satisfy certain conditions to be
    within the category
  • dog has 4 legs, born of dog parents, barks, has
    a tail
  • city has tall buildings, has paved roads, people
    work there

4
Problems for classical view
  • Concepts are hard to define. Example what is a
    game?
  • Easy to find category members that do not fit the
    rule
  • dog with three legs
  • fictional cities (Atlantis)
  • Cannot explain typicality effects a German
    shepherd is a better example of a dog than a
    Chihuahua

5
What causes typicality effects?
  • One explanation is that people compare each
    instance to a prototype for the category
  • A prototype is a representation that combines the
    average features for that category
  • protoypical dog has 4 legs, barks, has a tail,
    weighs around 45 pounds, is brown

6
Prototypes - examples
  • More examples of prototypes
  • The prototypical pizza has tomato sauce, has
    cheese, is 12 in diameter, is baked
  • The prototypical faculty member is...?
  • The prototypical family is... ?
  • Categories have fuzzy boundaries - not clear what
    are members and what are not

7
Evidence of typicality effects
  • Categories have graded membership Some members
    of a category are reliably rated as better
    members than others
  • rating task
  • production task
  • picture identification task
  • induction task

8
Rating task for fruit
  • On a scale of 1 to 7, with 7 as highest
    typicality
  • Apple 6.25
  • Peach 5.81
  • Strawberry 5.00
  • Watermelon 4.06
  • Fig 3.38
  • Olive 2.25

9
Production task
  • When asked to make up a list of fruits, people
    will more generate typical fruit names earlier on
    the list (apple, orange, peach, grapefruit,
    apricot, grapes, blueberries, honeydew)
  • Suggests that memory search starts with the
    prototype and works outward to less typical
    members of the category

10
Picture identification task
  • Participants are asked to make a yes/no judgment
    - Is this item an example of the category?
  • People are quicker to say yes to pictures of
    more typical examples (e.g., German shepherds
    apples) than less typical examples (e.g.,
    Chihuahuas grapes)

11
Induction task
  • Participants are asked to learn a new fact about
    one item A robins heart has three chambers.
    People were more willing to agree that A ducks
    heart has three chambers than in the reverse
    situation
  • A ducks heart has three chambers.
  • Does a robins heart have three chambers?

12
Induction task (cont.)
  • People will make inferences from the typical to
    the whole category
  • People will not make inferences from the atypical
    to the whole category
  • What you know to be true of a typical bird is
    likely to be true of most birds
  • What you know to be true of an atypical bird
    (e.g., penguin) might not be true of most birds

13
Basic level categories
  • Proposed by Eleanor Rosch
  • Basic level categories are the natural level of
    categorization
  • not too specific
  • not too general
  • usually requires only one word
  • may be acquired earliest by children

14
Basic level categories (cont.)
  • Evidence that we use basic level categories
  • developmental studies
  • more likely to be produced in naming tasks
  • easier to explain what members of basic level
    categories have in common

15
Exemplar theories
  • Exemplar a specific remembered instance
  • Your concept of dog is made up of all the
    examples of dogs that you have encountered
  • Typical items are encountered more frequently,
    so people have many stored representations of
    them, and these memories will be well primed

16
Exemplar theories (cont.)
  • Exemplar theories can explain typicality effects
  • Recognition task typical items are more quickly
    recognized because memory search for a matching
    exemplar will be fast
  • Production task when asked to list items in a
    given category, typical items are more frequently
    represented in memory

17
Advantages of exemplar over prototype theories
  • 1. The set of exemplars can represent how
    variable the category is
  • Information about variability is used by people,
    and is not represented by a prototype
  • 2. Categories can shift with recent experience -
    this suggests that we use specific examples, not
    an average that is very stable

18
Advantages of Exemplar over prototype theories
(cont.)
  • 3. We can generate categories that have no
    prototypes
  • things to take on vacation
  • things to see in Paris
  • these are examples of ad hoc categories
  • The evidence suggests that conceptual knowledge
    relies on more than prototypes

19
The role of similarity
  • Similarity (or resemblance) is crucial to both
    prototype and exemplar theories of categorization
  • Categorization by similarity is a useful
    heuristic (fast and efficient strategy)
  • However, we judge more than similarity when
    judging category membership
  • A painted, flattened lemon is still a lemon
  • A well-done counterfeit bill is not a 20 bill

20
Similarity (cont.)
  • Similarity depends on context
  • W hen asked to rate the similarity between Italy
    and Switzerland, people gave moderate ratings
  • When the people were asked to compare Italy,
    Switzerland, and Brazil, the similarity rating
    for Italy with Switzerland went up

21
The role of beliefs
  • Which features we pay attention to depends on our
    general beliefs. Example
  • When judging whether an animal is a raccoon, we
    pay attention to deep properties (genetic).
    Superficial properties (e.g., fur color) are less
    relevant

22
The role of beliefs (cont.)
  • Our judgments are guided by implicit theories
    about how the world works
  • Can an airplane be made of glass?
  • Can an airplane be made of ice cream?
  • Even though neither of these is close to the
    prototypical airplane, or to airplanes people
    have encountered (exemplars), people tend to say
    yes to glass and no to ice cream

23
The role of beliefs (cont.)
  • Alfred is an unmarried adult male. He has been
    living with his girlfriend for the past 23 years.
    Is Alfred a bachelor?
  • Bernard is an unmarried adult male and does not
    have a partner. Bernard is a monk living in a
    monastery. Is Bernard a bachelor?
  • Charles is a married adult male, but he has not
    seen his wife for many years. Charles is
    earnestly dating, hoping to find a new partner.
    Is he a bachelor?
  • Donald is a married adult male, but he lives in a
    culture that encourages males to take two wives.
    Donald is earnestly dating, hoping to find a new
    partner. Is he a bachelor?

24
Concept learning
  • When first exposed to a concept, people refer to
    exemplars
  • As they learn more about the category, they rely
    more on a prototype
  • However, people continue to be influenced by
    cases they have seen recently
  • Dermatologists were more likely to make a correct
    diagnosis if they had recently seen a similar case

25
Summary
  • Categorization is complex! Peoples judgments of
    category membership are influenced by
  • prototypes
  • exemplars (especially recent ones)
  • beliefs about what features are relevant
  • implicit theories about what features are
    essential
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