concepts and knowledge Flashcards

1
Q

Memory differences from knowledge: London Taxi drivers example

A

London taxi drivers have to memorize the spatial layout of london - because of this, they perform better on tests of spatial memory than people who don’t have to memorize london, like bus drivers (just follow the same route)

  • because of this, taxi drivers have greater posterior (but smaller anterior) hippocampi
  • additionally, posterior hippocampal volume is related to years of experience as a taxi driver
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2
Q

highly superioer autobiographical memory (HSAM)

A

people who have enhanced autobiographical memory (can remember every single day from their lives in detail)
- doesn’t involved mnemonic strategies - and hsam people aren’t any better than the average person at any other form of memory

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3
Q

downsides of a detailed memory

A

case of perfect detailed memory
- was able to recall conversations word for word
- recall detailed events from years ago
- could reproduce 70 digits without error

however, this resulted in problems accessing general concept knowledge - e.g. recognizing items if there is a slight change in detail

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4
Q

categories vs concepts vs exemplars

A

categories: items that are grouped together
concepts: general knowledge of a category
exemplars: individual items in a category

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5
Q

function of concepts

A

used to predict outcomes, guide behaviour, and for communication

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6
Q

concept organization

A

superordinate concepts: mammal, fish, etc
basic: deer, dog, trout
subordinate: terrier, spaniel, hammerhead shark

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7
Q

cognitive economy

A

a balance between simplification and differentiation

using the simplest terms that are still meaningful for the situation

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8
Q

concepts in child development

A

children learn basic, superordinate, then subordinate concepts

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9
Q

concepts in semantic dementia

A

ability to use basic level concepts becomes impaired as the disease progresses gets replaced with more general concepts

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10
Q

generalization

A

process of a deriving a concept from a specific experience

three ways of forming generalizations
- rules
- similarity
- explanation

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11
Q

Defining features - classic approach

A

necessary and sufficient for category membership

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12
Q

characteristics features - classic approach

A

are those common but not essential for category membership

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13
Q

classic approach to concept learning

A

concepts involve forming rules about lists features
- defining and characteristics features

feature comparison between encountered items and list - refines what a defining feature is for a concept

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14
Q

downsides to the classic approach to concept learning

A

works well for simple concepts, but not so much for
- complex concepts that are subject to variability
- ambiguous concepts

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15
Q

similarity

A

concepts are not based on defined features, rather are defined by the resemblance to a collection of features

often times there is no single attribute that defines a concept, rather there is a family resemblance, or some inherent similarity

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16
Q

fuzzy boundaries in categories

A

items are, more or less, part of a category

however, an item can be categorized into more than one category

17
Q

prototype theory

A

categories are formed from the overlap of exemplars - these are extracted from experience

each category has an abstracted prototype that is pre stored in memory - this represents the most common features with other members

items are included in a category network around that prototype - similar items are stored closer to the prototype than dissimilar items

18
Q

prototype theory dot patterns

A

ps learn to classify dot patterns that were variants of a prototype, but didn’t get to see the prototype

then, classified the studied patterns, new patterns, and the prototype into groups

ps were worse at classifying new compared to old patterns and were equally able to classify prototype and old patterns

19
Q

prototype

A

abstracted exemplar - other members resemble the prototype to different degrees

20
Q

prototype network

A

a network web like thing with the prototype in the centre and other members of the category branching out - the more obscure members are farther away from the prototype in the network

21
Q

typicality effect

A

a preference for processing items close to the prototype
- means that we are faster to recognize things closer to the prototype

22
Q

prototype theory and context

A

prototype theory treats context as independent - doesn’t account for how a situation determines concept representations

this is a downfall bc context affects the typicality effect

23
Q

exemplar theory

A

no single abstract prototype for a concept - instead, every instance of a category is stored in memory, not a prototype

explains how context can influence concept representations - bc we use personal experience and situation information to form concepts at retrieval

24
Q

how to determine if a new item is a member of a category exemplar theory

A

retrieve some or all exemplars of category members - compute similarity to new item at the time of concept determination

25
Q

brain networks in representations

A

prototype and exemplars engage different brain networks

meets different task demands + holding multiple representations supports flexible thought

26
Q

specificity task

A

exemplar

27
Q

generalized task

A

prototype

28
Q

knowledge based theories

A

explanation rather than similarity based view of concept categorization

uses implicit intuitive knowledge

29
Q

essentialism

A

the idea that certain categories have an underlying reality or true nature that one cannot observe

30
Q

embodied view of concepts

A

concepts are accessed as a function of the environment and current goals

concepts are processed in different brain networks and shift depending on what is being accessed from a concept

31
Q

ad hoc categories

A

a category concept that is invented for a specific purpose or goal

brings together dissimilar members into a single temporary category to meet a goal - related to creativity

32
Q

how is ADHD linked to creativity

A

conceptual expansion, a process of thinking outside traditional conceptual boundaries

33
Q

embodiment and the brain

A

knowledge is stored as sesorimotor neural representations

the particular representation is accessed as a function of what sensorimotor domain is required

34
Q

perceptual symbols system

A

perception and concepts knowledge are linked as ‘perceptual symbols’

activating a concept will engage certain sensory perceptions to engage mental simulation as a function of the goals of the current task

35
Q

property verification tasks

A

provide support to perceptual symbols system

found that people are faster to respond if a previous trial asked about a feature from the same percept

suggests that we recruit concepts based on senses/perceptions

36
Q

brain activation during passive reading

A

reading movement words can activate the the brain area that processes that type of movement

ex pick = hand areas
kick = foot area
lick = tongue

supports perceptual symbols system

37
Q

neuropsychological disorders - categories

A

people can have category specific deficits
- naming living things
- naming non living things

depends on where the brain damage is

38
Q

sensory functional theories

A

concepts represented by defining feature of that concept
- living things are defined by visual features
- inanimate objects (tools) are defined by functional features