Chapter 9 Flashcards

1
Q

What are categories?

A

Groups of objects that belong to the same class of objects. Does this object fit into category A or B?

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2
Q

Why do we categorize?

A

Allows us to make inferences and act appropriately. Also reduces the need for constant learning as we can generalize. Provides a lot of information about something, reduces complexity of the world.

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3
Q

What is classical categorization?

A

AKA the definitional approach- classify objects according to specific rules or definitions (ex: triangle=three sided polygon)

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4
Q

What are some of the problems with classical categorization?

A

Some objects have no clearcut definition (ex: define a chair). Where is the distinction between certain objects? (ex: A chair and a stool)- fuzzy boundaries. Category members have characteristics, not rules. Graded membership

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5
Q

What is graded membership?

A

Some items are better members of their category than others.

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6
Q

What is family resemblance?

A

Category members tend to share certain core features-not all members have every single feature- also an attempt to salvage the definitional approach (accounts for fuzzy boundaries and graded membership).

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7
Q

What is the prototype approach?

A

Mental representation of the typical/average member of a category based on past experiences. Prototypes depend on the type you usually see (sparse coding). Accounts for graded memberships-items that better resemble the prototype are considered “Better” members of that category.

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8
Q

What are some characteristics of a prototypical object?

A

High family resemblance, verified more quickly, named first, are affected more by priming

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9
Q

What does it mean when something has high family resemblance?

A

The more features that an item has in common with most other members of a category, the more prototypical it is.

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10
Q

How do we test if more prototypical objects are verified faster?

A

Sentence verification technique. Say yes if the sentence is true (an apple is a fruit versus a pomegranate is a fruit). People were much quicker to say yes when it was an apple (more prototypical fruit).

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11
Q

How do we know that prototypical items are usually named first?

A

Because when asked to write down all the objects in a category, the more prototypical ones are usually listed first.

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12
Q

What was the priming study done for the prototype approach?

A

People heard the word “green”, were told to ignore it. Then they were shown 1 of 3 sets of coloured circles- 1 was a prototypical green, 1 was a mint green, and 1 was completely different. People were much faster to identify the more prototypical colour than any other.

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13
Q

What is the exemplar approach?

A

Can explain how we place objects into categories. Involves comparing something against the stored representation-comparing against many exemplars. of actual category members-helps us take into account atypical members, no need for abstraction

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14
Q

What are the pros and cons about the exemplar approach?

A

Pros-wouldn’t lose information about variability, exceptions

Cons- massive amounts of information to store.

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15
Q

Is the prototype or exemplar approach correct?

A

Both. Prototype is used for initial category learning, exemplars help us create smaller and more variable categories-adds information about exceptions.

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16
Q

What is hierarchical organization?

A

Large, general categories being broken down into smaller and smaller ones

17
Q

What are the 3 types of categories in hierarchical organization?

A

Superordinate (global)- very broad
Basic level- moderately specific
Subordinate- very specific

18
Q

What types of categories are “privileged?”

A

Basic level-people are faster at producing these labels and verifying pictures as category members. Maximizes storage-information trade-off. (global-lose a lot of info, subordinate-gain little information). Also better at producing priming effects

19
Q

What are semantic networks?

A

More interested in interconnections between related items. Information is arranged as a web.

20
Q

What are the nodes of semantic networks?

A

Concepts/categories

21
Q

What is the Collins and Quillian model?

A

Hierarchical semantic network where more broad concepts are “higher-up”. Certain characteristics of concepts link to nodes.

22
Q

What is the cognitive economy?

A

Common, shared characteristics are stored “higher”.

23
Q

What is a prediction from the Collins and Quillian model?

A

Takes time to travel from node to node-number of links between concepts=more time to retrieve information

24
Q

How do you test the prediction with the Collins and Quillian model?

A

Sentence verification task. Say yes if true-faster to verify info that requires less travel time.

25
Q

What is spreading activation?

A

Thinking about a concept activates that node. Activation spreads to connected nodes and decreases the farther you go. Closely linked concepts makes for better priming.

26
Q

How does the lexical decision task test for spreading activation?

A

Asks, are both of the following words? Found that people were faster to say yes when the words are related

27
Q

What are the 2 major problems with the Collins and Quillian model?

A

Typicality effect, Rips et al

28
Q

What did Rips et al find as an issue with the Collins and Quillian model?

A

A pig is an animal versus a mammal-should be faster to verify that it’s a mammal according to Collins and Quillian, but actually faster to say it’s an animal.

29
Q

What is the Collin’s and Loftus model?

A

Removes hierarchical aspect of old model and makes it more like a web. Concepts are more or less strongly associated with one another, represented in terms of distance between. Still has spreading activation.

30
Q

What are the distances in the Collins and Loftus model determined by?

A

Knowledge and experience (accounts for Rips et al)

31
Q

What can the Collins and Loftus model account for that the Quillian model cannot?

A

Pig-mammal problem, typicality effect, sentence verification effects, priming, individual differences

32
Q

What should a good scientific theory have?

A

Have explanatory power, have predictive power, generate research, be falsifiable.

33
Q

What did Winawer et al do a study on?

A

Whether language had an effect on categorization. Showed 3 coloured squares (which one is the same as the top one?) Tested English speakers and Russian speakers (Russian has 2 words for blue)

34
Q

What were the results of the Winawer et al study?

A

English speakers- made judgements equally fast

Russian speakers- were significantly quicker when colours had different linguistic labels.

35
Q

What was Gilbert et al’s prediction and how did they test it?

A

If language affects colour perception/categorization then we’d expect a larger effect in the right visual field (left hemisphere). Tested using the oddball task

36
Q

What was the Oddball task? (Gilbert et al)

A

Participant sees a ring of coloured squares. 1 of them is different. Asked if different one is in the left or right side of ring (also either different colours or different shades of the same colour).

37
Q

What were the results from the oddball task?

A

Target from same category: not much different
Target from different category: much faster identification in the right visual field Conclusion: something shown in the right visual field causes us to start to use language to identify (better if it’s from a different category).