Knowledge Flashcards

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1
Q

Definitional approach to categorisation

A

Determine category membership based on whether the object meets the definition of the category
Not good for natural objects e.g. chairs can look different but still be a chair

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2
Q

Family resemblance

A

Things in a category resemble one another in a number of ways (see definitional approach)

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3
Q

Prototype approach to categorisation

A

Membership in a category is determined by comparing the object to a prototype that represents the category.
Average representation of the category.

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4
Q

Prototype

A

A standard representation of a category, an ‘average’. E.g. sparrow is a typical bird

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5
Q

High prototypicality

A

High prototypical objects have high family resemblance
Are the first objects to be recalled (typicality effect)
More susceptible to priming

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6
Q

Sentence verification technique

A

Highly prototypical objects are identified more quickly (typicality effect).
Eg. respond quicker to ‘Apple is a fruit’ than ‘Pomegranate is a fruit’

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7
Q

Exemplary approach to categorisation

A

Actual members of the category that a person has encountered in the past.
Easily takes into account ‘atypical’ members of a category
Sparrow recalled faster because similar to more bird exemplars.

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8
Q

Prototypes or exemplars?

A

We use both
Learn a category using prototypes then more to exemplars.
Exemplars best for small groups.
Prototypes best for large groups.

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9
Q

Hierarchical categories

A

Different levels of categories (large, general categories divided into smaller, more specific categories)

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10
Q

Basic level of categories

A

Optimal level

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11
Q

Superordinate level of categories

A

Global/general

Lose a lot of information

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12
Q

Subordinate level of categories

A

Specific.

Gain little information

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13
Q

Evidence that basic level is special

A

People almost exclusively use basic-level names in free naming tasks.
Quicker to identify basic-level category member as a member of a category.
Children learn basic-level concepts sooner than other levels.
Basic-level is much more common in adult discourse than names for superordinate categories.
Different cultures tend to use the same basic-level categories, at least for living things.

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14
Q

Semantic network approach

A

Concepts are arranged in networks that represent the way concepts are arranged in the mind
Hierarchical model - specific concepts at the bottom and more general concepts at higher levels

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15
Q

Cognitive economy

A

Shared properties stored at higher level node, exceptions at lower level nodes.
Storing shared properties just once at a higher level node

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16
Q

Spreading activation

A

Activity spreads out from one node to other con vector nodes

Primed concepts are easier to retrieve from memory because of the spreading

17
Q

Lexical decision task

A

Participants read stimuli and are asked to say as quickly as possible whether the items are words or not

18
Q

Semantic network model problems

A

Can’t explain the typicality effect

19
Q

Connectionist model

A

Networks consist of units (inspired by neurons).
Processing occurs in parallel (at the same time) - parallel distributed processing
Connection weights

20
Q

Input, hidden, output units

A

Input units are activated by stimuli from the environment.

Input units send signals to hidden units, which send signals to output units.

21
Q

Connection weights

A

Determines how signals sent from one unit either increase or decrease the activity of the next unit.

22
Q

Parallel distributed processing

A

Concurrent activation across many units at the same time

23
Q

Support for connectionist model

A

Networks are not totally disrupted by damage.

Explains generalisation of learning.

24
Q

Categories in the brain

A

Different areas of the brain may be specialised to process particular category information

25
Q

Category-specific memory impairment

A

Individual loses the ability to identify one type of object but retains the ability to identify other types of objects
E.g. can identify non-animals but not living animals.

26
Q

Sensory-functional hypothesis

A

States that our ability to differentiate living things and artifacts depends on a semantic memory system that distinguishes sensory attributes and a system that distinguishes function
E.g. recognise living things by sensory features, non-living things by function.

27
Q

Semantic category approach

A

Proposes that there are specific neural circuits in the brain for some specific categories.

28
Q

Multiple factor approach

A

Looks at how concepts are divided up within a category rather than identifying specific brain areas of networks for different concepts

29
Q

Crowding

A

When different concepts within a category share many properties
E.g. animals all share eyes, legs, and the ability to move
Boat/car/plane only share ‘vehicle’

30
Q

Embodied approach

A

Our knowledge of concepts is based on reactivation of sensory and motor processes that occur when we interact with the object

31
Q

Mirror neurons

A

Neurons that fire when we do a task or when we observe another doing that same task

32
Q

Semantic somatotopy

A

Correspondence between words related to specific body parts and the location of brain activation
E.g. leg words and leg movements elicit activity near the brain’s centre.