PSY1002 SEMESTER 2 - WEEK 3 Flashcards

1
Q

define semantic memory

A

general world knowledge including objects, people, concepts and words

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2
Q

explain semantic memory structure as Hierarchical Network Model (Collins & Quillians)

A

hierarchy of concept representation
spreading activation between nodes via connections, allowing access of both common features and differentiation of differing features
3 levels- superordinate, basic, subordinate

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3
Q

explain the 3 levels of semantic memory hierarchical network model (by giving examples)

A

superordinate level - distinctive but not as informative (eg: mammals and reptiles)
basic level - those which category members share highest number of features, so more informative than other level and distinct from other concepts at same level (eg: cats and dogs)
subordinate level - informative but not so distinctive (eg: spaniel and border collie)

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4
Q

why is basic level in hierarchical network model for semantic memory most used

A

we learn basic categories first, and they typically share common shapes and movements so allows faster categorising of pictures and used more frequently in free naming

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5
Q

give an issue of heirarchical network model

A

doesn’t account for semantic relatedness eg: canary links to both island, bird but doesn’t fit into hierarchy. semantic activation means we may also link it to other islands, making hierarchical model useless
instead use associative networks model

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6
Q

outline associative network model (Collins & Loftus, 1975) - semantic memory structure

A

replaces hierarchical model with ideas of semantic relatings, stored as relationship network
mindmap structure showing links between different concepts. when objects are categorised “activation” spreads from objects corresponding concept node to other associated nodes

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7
Q

give advantages of associative networks model

A

cognitive economy = efficient mental storage, allows for generalisation of new objects, predicts distance effect

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8
Q

give weaknesses of associative network model

A

not able to account for typicality effects (has no mechanism to explain why some subordinates were considered better than others)

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9
Q

whats feature comparisons approach for semantic memory structures

A

hierarchical relationships computed using reasoning processes (not directly stored in semantic networks)
deciding how concepts are related uses comparison of features of concepts with typicality effects reflecting degree of overlapping similarities

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10
Q

outline neuroscience-inspired approach for semantic memory structure

A

focus on where brain concepts are located
theories suggest either concepts are directly represented by connections between differing sensorimotor areas
or
distinct brain area binds together feature, with conceptual representations distinct from sensory and motor areas

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11
Q

whats semantic dementia

A

the progressive deterioration in semantic memory, leads to loss of knowledge about objects, people, concepts and words

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12
Q

what is classical categorisation theory (Aristotle)

A

“concepts as definitions”
categories are defined by necessary, and sufficient feature
eg: separating numbers into odd/even rules - defining feature for this example is odd numbers cannot be evenly divided by 2

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13
Q

give an advantage of the classical theory of categorisation

A

definitions allows easy identification of whether items are categories members/ or not

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14
Q

name 5 issues with classical theory of categorisation

A

family resemblance
central tendency
graded membership
empirical problems
typicality effect

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15
Q

explain classical theory of categorisation issue of family resemblance

A

different members of a category share different features eg: chair can have 3/4 legs, no arms etc. difficult to find one definition, and category members sharing family resemblance suggests you can state they share a family resemblance but cannot point to their exact shared feature

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16
Q

explain classical theory of categorisation issue of central tendency

A

categories exhibit an averaged ideal. eg: solid representatio of what a dog is, with an average idea of their physical looks

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17
Q

explain classical theory of categorisation issue of graded membership

A

some members are more typical for a category than others
eg: eagles are seen more of a bird than a penguins

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18
Q

explain classical theory of categorisation issue of empirical problems

A

determines whether something is part of a category but, doesn’t make distinctions between category members

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19
Q

explain classical theory of categorisation issue of typicality effect

A

typicality of category member depends on how they compare to an abstract combination of most frequent attributes
semantic dementia patient show progressive impairment of conceptual knowledge = when asked to match words and pictures to categories they make more errors on atypical>typical item

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20
Q

what are 3 modern categorisation theories

A

prototype theory, exemplar theory, explanation-based theory

21
Q

outline modern categorisation “prototype theory” (Rosch, 1975)

A

category determined by mental representation of a weighted average for all category members
important features shared by most members (common- 4 legs, fluffy) and not by members of other categories (distinct- barks at other )

22
Q

name issues of modern categorisation ‘prototype theory’

A
  • cannot explain how we can tell size of category (can state how many dog types, but not elephant)
  • cannot explain how we can add new members to categories, adding in new member adjust prototype
23
Q

explain modern categorisation “exemplar theory” which aims to address prototype theories issue

A

categories consist of separate representations of physical features of experienced examples of category- categorisation by comparison to all memories of similar thing, contents bringing to mind specific experience involving similar items
allow us to work out size, adding new member, less typical an object the less members of concept are remembered

24
Q

outline issues of modern categorisation ‘exemplar theory’

A

cannot explain how we retrieve all category members to define a category if our retrieval is based on category membership (theoretical circularity?)
how can we form abstract categories for things without physical features?- social gropu, politics wetc

25
Q

explain modern categorisation “explanation-based theory” which aimed to adress exempalr theory issue

A

categories are based on common causal characteristics rather than physical features eg: instead of waterfowl as animal with webbed feet, categorised as swimmer
- categories can be created ad hoc using world knowledge and explanations - allows us grouping items together that makes sense for specific category (eg if category is to name distinctive smelling item, say perfume and skunks which ahve no other similar characteristic)

26
Q

outline Barsalou’s research for explanation-based modern categorisations theory

A

do ad hoc categories (eg: distinctive smelling thing) have same features as common categories (fruit)
ppt high average agreement regarding category membership, typicality of members and production of exemplars
ad hoc category similar to common category in that exhibits family resemblance, central tendency, graded membership

27
Q

what does categorising items allow us to do

A

semantic memories allowing us forming representations of categories, allowing predictions of what could happen next “category induction”
can producitvely combine concepts, allowing combination of new concept

28
Q

explain typicality rating as methods of measuring categorisation

A

ranked from being best-worst examples eg: rank following chair photos (IV) from best to worst example. DV is average ranks

28
Q

name 3 methods for measuring categorisation

A

typicality ratings, exemplar production, category membership

29
Q

outline Armstrong et al’s (1983) study for typicality ratings measurement of categorisation

A

asked typicality ratings for odd numbers
although odd/even are definitive categories certain numbers perceived as “more odd”, shows presence of graded membership

30
Q

describe exemplar production method for measuring categorisation

A

recall as many items of a specific category
eg: state as many pieces of furniture as you can DV is frequency of production or it’s position in list

31
Q

explain category membership verification as method for measuring categorisation

A

ask whether certain items belong to categories or not eg: is this exemplar in category fish, with DV as accuracy of repsonse and reaction time. fast reaction time suggests a prominent member

32
Q

why are schematas referred to as an explanation based event category

A

semantic memories allow us to form a schemata encapturing commonly encountered aspects of life, allowing formations of blueprints to predict a sequence of events

33
Q

explain category induction

A

ability to generalise what we know about a category to novel object, and infer property of one category onto another

34
Q

what impacts the likelihood of category induction

A

how relevant to kinds of categories being compared

35
Q

what is though regarding stereotypes and categories

A

stereotypic knowledge learnt and represented same as conceptual system, represented as hierarchies, supporting notion that stereotype conceptual representations may operate in same way as more general conceptual system

36
Q

explain impact of expertise for categorisation

A

richer conceptual representations, high agreement level in feature lists
basic level of categorisation shift to lower level of hierarchy when in domain of expertise however in domain outside of area, considered usual level of hierarchy to be basic level

37
Q

name the 5 schema process

A

selection, abstraction, interpretation, integration, reconstruction

38
Q

outline Bransford & Johnson (1972) study into the schema process of selection

A

ppts told to either:
1. study text, not told topic, free recall
2. study text, given topic, free recall
3. told topic, study text, free recall

found schema activation helps encoding
best performance in ppts told before test

38
Q

outline schema process - selection

A

selection of most salient, relevant info central to the schema we are currently employing
eg: when shopping match preferences against supply, quality

38
Q

outline schema process - abstraction

A

surface form of info (ambiguities in picture, or bad wording) is converted into more abstract representations that capture meaning, but schema-consistent

39
Q

explain Carmichael et al (1932) study into abstractions

A

ppts shown abstract drawing, told different concepts of what it was, redraw
if told what item was, redraw image more inline with schemas

40
Q

outline schema process - interpretation

A

interpretation fills in gaps for what we expect, in schema-consistent mannere

41
Q

explain Johnson et al (1973) study into interpretation

A

2 groups told info that with 1 word change and asked if sentance then read was correct, and with cause schema activation nshowed greater old “judgements”

42
Q

outline schema process - integration

A

integrate info into holistic, generalist and already held schema

43
Q

explain Bransford et al (1972) study into integration

A

ppts heard pieces of info describing a scene, asked to make judgement for their visualisations based on perceptions (to integrate into a holistic representation) - asked which sentence was the one they heard
results showed integration of info is used to form schema-consistent holistic representations

44
Q

what scene description and sentences did ppts hear in Bransford study into integration

A

“There is a tree with a box beside it, and a chair on top of the box. The box is to the right of the tree. The tree is green adn extremely tall
a) box to right of tree (old info)
b) chair to right of tree (new but permissible = interference)
c) box to left of tree (new info and relation change)
d) chair to left of tree (new info and subject change)

45
Q

outline Barletts (1932) War of Ghosts study into reconstruction

A

British students given Native American study, and recalled different info due to perceptual difference from own experiences. details reconstructed to fit own cultural schemas and norms

46
Q

outline Brewer & Treyens (1981) study into recall of principles office for “reconstruction”

A

could remember things like chair, desk, posters but added (reconstructed) extras as made sense in their schemas of office