Lecture 7 Flashcards

1
Q

Why do we have conceptual hubs? (2)

A
  1. provide efficient way of integrating our knowledge on any concept
  2. make it easier to detect semantic similarities across concepts, differing greatly in their modality-specific attributes (e.g. scallops and prawns look different, but are similar conceptually)
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2
Q

What are categories?

A

A class of stimuli that are treated in an equivalent manner

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3
Q

What are natural categories?

A

Categories that occur in natural language (fruit, animal, tool, furniture, clothing)

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4
Q

What is the difference between artificial categories and natural categories?

A

Unlike artificial categories, features of natural category members are not combined arbitrarily

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5
Q

Provide an overview of Bruner, Goodnow & Austin’s (1956) category learning study

A

required the learner to compare and contrast categories that contain concept-relevant features with categories that do not contain concept-relevant features

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6
Q

What type of structure do natural categories have?

A

A correlational structure: some features go together e.g. “have feathers” + “have beaks” go together but “have petals” doesn’t

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7
Q

What are three characteristics of natural categories?

A
  1. fuzzy sets
  2. family resemblance
  3. internal structure
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8
Q

What are fuzzy sets?

A

Boundaries of natural categories are ill-defined

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9
Q

What is the study that correlates with fuzzy sets?

A

McCloksey & Glucksberg (1978): asked Ss to decide category mebership for each category pair (e.g. chair-furniture, cucumber-furniture) twice. Found that for intermediate exemplars (bookend-furniture) both subject agreement and consistency was low

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10
Q

What is the idea of family resemblance?

A

No single attribute is shared by all members of a category but each member has at least one attribute shared with another member

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11
Q

What is the study that correlates with family resemblance?

A

Wittgenstein (1953): “game” example

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12
Q

What did Rosch & Mervis’ (1975) study on typicality show?

A

Ss rated how good a member of the category was e.g. fruit (1-7 scale) - typicality is not uniform

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13
Q

What is the family resemblance score?

A

sum of the weighted scores of attributes e.g. swallow, robin & penguin

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14
Q

What represents the prototype in a family resemblance score?

A

member of a category having the highest family resemblance scores represents the prototype

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15
Q

What does internal structure mean?

A

more highly typical items are those that share more attributes in common with other examples

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16
Q

In a natural category, what is a category centred around?

A

A prototype

17
Q

What are basic level categories?

A

most inclusive level which there are attributes common to many members of the category, and a few attributes that occur in other categories

18
Q

What categories are first learned by children?

A

basic-level categories - more likely to learn ‘chair’ first before ‘furniture’

19
Q

What are two ways that people categorise?

A
  1. similarity-based views

2. Theory (knowledge) based view

20
Q

What is the prototype view?

A

People abstract the commonalities among the exemplars and the abstracted prototype is stored in memory - a new instance is compared to the prototype

21
Q

What is the exemplar view?

A

Unlikely to have a stored prototype for e.g. “people in my neighbourhood”, instead compare to individual instances/examples

22
Q

Describe the theory (knowledge) based view

A

suggests that categorisation is based on a theory (explanation) developed from instances

23
Q

What is the study that correlates with the theory (knowledge) based view?

A

Rips (1989): pizza vs. 20 cent coin: more likely to choose pizza because theory (explanation), pizzas vary in size, 20 cent coins do not

24
Q

What is the theory (knowledge) based view most likely to be affected by?

A

context - e.g. hair vs. cloud