Power Point 1 Flashcards

1
Q

Prototype Theory

Rosch, 1978

A

prototype
“best exemplar” or a “typical” of the category
non-existent
composite
an average of category members commonly experienced

membership in a category is determined by comparing the item to a prototype that represents the category

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2
Q

an average of category members commonly experienced

A

Prototype Theory

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3
Q

Prototype Theory

-High Typicality

A

the closer the item is to the prototype (in term of features) of a given category, the more likely it will be considered a member of that category

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4
Q

high typicality members

A

the category member closely resembles the category prototype (it is like a “typical” member of the category)

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5
Q

the more “distant” the item is to the prototype of a given category, the less likely it will be considered a member of that category

A

Prototype Theory- Low Typicality

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6
Q

Prototype Theory- Low Typicality

A

the category member does not closely resemble a typical member of the category.

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7
Q

Prototype Theory- Empirical Evidence

A

Results of Rosh’s experiment, in which participants judged objects on a scale of 1 (good example of a category) to 7 (poor example)for ratings of birds

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8
Q

How well do good and poor examples of a category compare to other items within the category?

A

family resemblance- prototype theory

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9
Q

items in the category whose characteristics have a large amount of overlap with characteristics of other items in the category

A

high family resemblance items

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10
Q

high family resemblance items

A

items in the category whose characteristics have a large amount of overlap with characteristics of other items in the category

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11
Q

items in the category whose characteristics have minimal to no overlap with characteristics of other items in the category

A

low family resemblance items

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12
Q

low family resemblance items

A

items in the category whose characteristics have minimal to no overlap with characteristics of other items in the category

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13
Q

Prototype Theory

Family Resemblance

A

strong positive relationship between prototypicality and family resemblance

strong prototypical members of a category share many attributes with other members of the category (high family resemblance)
weak prototypical members of a category share few attributes with other members of the category (low family resemblance)

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14
Q

sentence verification paradigm

A

Prototype Theory
Typicality Effect

participants are asked to respond sentences with either a ‘yes’ or ‘no’ response
“Is an apple a fruit?”
“Is a pomegranate a fruit?”

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15
Q

participants are asked to respond sentences with either a ‘yes’ or ‘no’ response
“Is an apple a fruit?”
“Is a pomegranate a fruit?”

A

sentence verification paradigm

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16
Q

prototypical objects are processed ______ (“typicality effect”) - prototypical items result in faster decision times

A

preferentially

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17
Q

prototypical items result in ______ decision times

A

faster

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18
Q

In the sentence verification experiement, reaction times were faster for objects rated _____ in prototypicality

A

higher

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19
Q

prototypical objects are also named more _____

A

quickly

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20
Q

prototypical objects are recalled more ____

A

easily

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21
Q

Family resemblance

A

Things in a category resemble each other in a number of ways.

High prototypical items receive high ratings in terms of family resemblance.

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22
Q

typicality

A

People react rapidly to members of a category that are “typical” of the category.

Sentence Verification Paradigm.

Faster RTs to statements like “A _____ is a bird” when high-prototypical items (e.g., robin) are used than for low-prototypical items (e.g., ostrich).

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23
Q

naming/recall

A

People are more likely to list/recall some objects more than others when asked to name/recall objects in a category.

High-prototypical items are named/recalled first when people list/recall examples of a category.

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24
Q

Exemplar Approach

A

membership in a category is determined by comparing the item to other real, actual items of that category (or exemplars)

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25
membership in a category is determined by comparing the item to other real, actual items of that category (or exemplars)
Exemplar Approach
26
exemplars
actual members of the category (vs abstract prototype) new items are compared to stored exemplars in order to categorize the new item
27
actual members of the category (vs abstract prototype) new items are compared to stored exemplars in order to categorize the new item
exemplars
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exemplar approach explains many of the effects found with ______ theory
prototype
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typicality effect
sentence verification tasks result in faster reaction times for better examples of a category compared to poorer examples sparrow is similar to many bird exemplars so would be classified faster than a penguin, which is similar to few bird exemplars
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sentence verification tasks result in faster reaction times for better examples of a category compared to poorer examples sparrow is similar to many bird exemplars so would be classified faster than a penguin, which is similar to few bird exemplars
typicality effect
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family resemblance effect
high typicality items will have higher family resemblance (higher overlap of similar features) low typicality items will have lower family resemblance (lower overlap of similar features)
32
high typicality items will have higher family resemblance (higher overlap of similar features) low typicality items will have lower family resemblance (lower overlap of similar features)
family resemblance effect
33
Prototypes or Exemplars?
the use of prototypes means that the features of outliers (unusual category members) aren’t recognized, because the way in which items are categorized is to compare against a prototype, which highlights average or common features BUT it may be an efficient way of learning quite a bit about a category
34
_____ are better suited for categories for which a prototype would be hard to imagine - games - modes of transportations
exemplars
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_______may be a better approach to use for small categories
exemplars
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exemplar or prototype: both approaches are used, depending on the _____ and _____
category and age
37
“We know generally what cats are (_______), but we know our own specific cat the best” (______)
the prototype approach exemplar
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semantic networks:
categories or concepts are organized or arranged in networks where concepts are linked to one another via links
39
categories or concepts are organized or arranged in networks where concepts are linked to one another via links
semantic networks
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in a semantic network, _____ represent a category or concept
nodes
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in semantic networks, _____ represent the connections between the nodes
links
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Hierarchical Semantic Networks
concepts are arranged in hierarchical networks that represent the way concepts are organized in the mind
43
concepts are arranged in hierarchical networks that represent the way concepts are organized in the mind
Hierarchical Semantic Networks
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hierarchical nature is due to fact that more general concepts are at _____ levels than the more specific concepts found at the ____ levels
higher bottom
45
shared properties are stored once only at higher-level nodes (general) exceptions are stored at lower nodes (specific)
cognitive economy
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cognitive economy
shared properties are stored once only at higher-level nodes (general) exceptions are stored at lower nodes (specific)
47
cognitive economy belongs to?
Hierarchical Semantic Networks
48
inheritance belongs to?
Hierarchical Semantic Networks
49
lower-level items share properties of higher-level items
inheritance
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inheritance
lower-level items share properties of higher-level items
51
sentence verification tasks A canary is a canary << A canary is a bird << A canary is an animal. A canary can sing << A canary can fly << A canary has skin. Belongs to?
Hierarchical Semantic Networks
52
what theory could not exaplain the typicality effect?
Hierarchical Semantic Networks
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Criticisms of Hierarchical Semantic Networks
typicality effects | hierarchical structure
54
loosely structured network - nodes (semantic representations) - links hierarchical relationships can exist but are not necessary
Spreading Activation Network
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Spreading Activation Network
loosely structured network - nodes (semantic representations) - links hierarchical relationships can exist but are not necessary
56
activation of node results in spreading of activation to connected links
spreading activation network
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spreading activation network
activation of node results in spreading of activation to connected links concepts that receive activation are primed and more easily accessed from memory
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concepts that receive activation are primed and more easily accessed from memory
spreading activation network
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Spreading Activation Network | -mechanisms of activation
mechanisms of activation - selection of representation (node) is dictated by threshold levels of activation - automatic processes (i.e., processes are not under conscious control) - spread of activation is initiated at the targeted concept and spreads to other concepts
60
Spreading Activation Network strength of connection & distance between nodes are determined by______
relationship between concepts
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____ semantic relations will have ______connections to one another so semantic representations are _____ ____ semantic relations will have ___ connections to one another so semantic representations are _____
strong strong close together weak weak further apart