Topic 1: introduction to cognitive psychology Flashcards

1
Q

What is cognitive psychology?

A
  • the study of the mind/ mental architecture
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2
Q

Features of thought/ behaviours that need to be accounted for

Systematic

Productive

A
  • Systematic relationships
  • Continual generation of new forms (productive)

  • information processing must be systematic and productive*
  • requires mental architecture*
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3
Q

Different types of information

Biological

Experiential

A

Biological information

  • domain-specific information
  • nature

Experiential information

  • domain-general
  • nurture

we use both types of information

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4
Q

how do we investigate the mind (information processor)

A
  • current data types for investigating mental activity are:
    • Phenomenal (introspection)
    • Behavioural
    • Brain and other physiological activity
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5
Q

Early cognitive investigations

Introspection (Wundt)

A

Process:

experimental manipulation -> mental activity -> thought -> verbal behaviour -> data

how transparent is the mental activity revealed in the data?

  • Low reliability
  • Nesbitt & Wilson identified that we say more than we know
  • artifact of language
  • access

still a heavy reliance on self-report measures in psychology

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6
Q

Behaviourism

Logical positivism

A
  • Behaviourists focus on function
  • Logical positivists said we cant scientifically investigate the unobservable which was adopted by the behaviourists
  • The only innate elements included
    • association
    • registration of frequency
    • sensory properties (only information-specific)
    • intital motor response (as a baby)
    • basis for reinforcement
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7
Q

What factors influenced the return to cognitivism

A
  • human factors (attention and memory)
  • not everything could be freely associated (Garcia)
  • computers (3 levels of analysis)
  • developments in linguistics (generative grammar and the ability to compile sentences separate frommemory)

Cognitivism builds models (theories) of the unobservable, by using falsifiable hypotheses

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8
Q

Levels of analysis

Computer analysis

A
  • Functional level (computational): behavioural and phenomenal
  • Procedural level (algorithmic): cognitive psychology
  • Physical level (implementational): brain activity
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9
Q

Microstructure

Classical approach

A
  • operations governed by form (lego blocks)
  • input re-formatted into pre-existing usable forms (indirect perception/ interpretation of the world)
  • mixture of special-purpose and general purpose domains
  • hypothesis generation… belief states
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10
Q

Classical approach continued

A
  • can have an infinite number of thoughts but only of a finite type (finite expressive power)
  • inherent systematicity and productivity
  • learning is the process of triggering innate knowledge and hypothesis generation
  • discrete functions and systematic breakdowns
  • uniform competence within a species
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11
Q

Connectionist approach

microstructure

A
  • consists of no formal representations
  • no information-sepcific rules
  • input-output functions based on associative strength
  • information presented by distinct patterns of activation such as spreading activation
  • connection weights change with experience (learning)
  • meaing defined by association. Identification involves pattern association
  • infinite expressive power
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12
Q

Problems for connectionist and classical approaches

A

Connectionist

  • one-off learning and no inherent constraint on learning
  • retroactive intereference
  • how is any innate/ biolgoical architecture realised?
  • systematicity = serendipity

Classical

  • agency
  • frame and binding problems
  • much may be indefinable
  • more complicated architecture
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13
Q

Mental architecture (from micro-structure to macro-structure)

schemata

modules

A

associationist/ connectionist

  • have common processes which translate to knowledge-based domains (schemata)

classical

  • have specialised processes (lego blocks) that translate to competence-based domains, which are defined by what they do (modules)
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14
Q

Evidence for some competence based-domains

A
  • learnability problem (impoverished input)
  • systematic constraint and breakdown
  • cross-cultural consistency
  • illusions (why we are susceptible)
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15
Q

Modularity hypothesis (connectionist)

A
  • event (stimulus) ->
  • transducers (sensory input) ->
  • inpute modules ->
  • central system (thought) ->
  • output modules ->
  • muscles (motor output) ->
  • behaviour
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16
Q

Modules

(modularity hypothesis)

A
  • modules are unconscious
  • domain specific (only respond to certain types of input)
  • informationally encapsulated
  • indirect representation of the world (computational)
  • attributes non-sensory features through demonstrative inference
    • infers about the world in regards to stimulus it recieves (input onto an output)
    • can be scientifically studied
17
Q

central system

modularity theory

A
  • general problem solver
  • belief fixation via non-demonstrativ inference (induction)
  • each event is uniquely represented
  • isotropic principle
  • quinean principle
18
Q

neuroscience

A
  • cells migrate to form neural aggregates
    • rhese form brain areas with dedicated mental functions

reference to left and right brain is simply a gross reflection of localised function

19
Q

Localisation of function

motor cortex and somatosensory cortex

A
  • motro cortex is the output
  • somatosensory cortext is the input
20
Q

parvo- and magno-cellular pathways

(perception-action theory)

A
  • parvo-cellular pathway (what)
  • magno-cellular pathways (where)
  • causation = what/where compromise
21
Q

clinical neuropsychology

A
  • aphasias (Broca’s, Wernicke’s) inability to understand or produce speech
  • alexia, agraphia… dyslexia
  • amnesias (retrograde and anterograde)
  • apraxia (loss of motor control as a result of intentionality)
  • visual agnosia (prosopagnosia)
  • spatial neglect
  • commissureotomy (split brain)
  • akinetopsia (non-continuous motion)
22
Q

Learnability principle

A

need negative and positive evidence

23
Q

Autism

symptoms

theories

A
  • developmental disorder
  • defined by behaviour of narrowing of relationships to oneself
  • primary symptoms
    • socialistation
    • communication
    • pretend play is less than repetition/ routine
  • theories of autism:
    • nurture (environmental basis
      • refrigerator parents (emotionally withdrawn parents have children with autism)
    • nature
      • ​biological (evidence for biology)

need to look at mental architecture rather than just behaviour

24
Q

theory of biolgical development of autism

A
25
Q

Theory of mind

how to measure ToM

A
  • mentalising
  • mind blindness = no ToM

Measuring ToM:

  • false belief tasks
  • picture sequencing tasks
26
Q

Information processing approach

autism

A
  • secondary symptoms
    • executive impairment (working memory and bias towards the literal and details)
    • perceptual impairment (perceptions are more truthful)
27
Q

Reasons to study mental activity

A
  • species issues (only 0.1% of human genome is free to vary)
  • individual issues (clinical cases)
  • from the natural to artificial