heuristic Flashcards

learn (33 cards)

1
Q

what is heuristics

A

cognitive shortcuts

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2
Q

fast and frugal examples

A

recognition

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3
Q

recognition heuristics

A

recognise one not the other, chose recognised one

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4
Q

cues?

A

rank cues through eco validity then discriminate between them

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5
Q

discrimination cues

A

cue worked last time use that
or
pick one at random, minimalist

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6
Q

dimond principle

A
  1. recognition
  2. cue value
    3.discrimination rule
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7
Q

probabilistic mental model

A

cognitive mechanisms for making decisions

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8
Q

who came up with fast and frugal heuristics

A

gigerenzer 91 and goldstein 96

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9
Q

what is the key process

A

search for relevent cues that enable choice between different outomes
stop when discriminating cue is found
one reason decision making

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10
Q

evidence for fast and freugal

A

gigerenzer and goldstein 1996

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11
Q

gigerenzer and goldstein 1996

A

human studies of population judgements
90% made in accordance with recognition

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12
Q

limitation of fast and freugal

A

empirical evidence is limmited
difficulty controlling knowledge peiple might use when making judgements 2003
people use more than one source of information

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13
Q

how to judge judgement

A

correspondence theory
coherence theory

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14
Q

correspondence theory

A

judgements correspond with world
gigerenzer ecological rationality 1999

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15
Q

coherence theory

A

processing of information is rational
tversky and kahneman heuristic bias
judgement deviates from normative laws and there errors

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16
Q

tversky and kahneman

A

which heuristics people use when under uncertainty and resulting in practicable bias

17
Q

failures of coherence

A

focused on error led to pessimistic view of judgement

18
Q

what concepts does heuristics bias relies on q

A

attribute substitution,
natural assesement
_ kahneman and Fredrick 2002_

19
Q

attribution substitution

A

making hard judgements people switch to heuristic attribute as easier to judge
how representative is it

20
Q

natural assessment

A

judging using properties like size distance or cognitive fluency

21
Q

evidence for heuristic attributes

A

target attributes highly correlate with judgements of heuristic attributes with which have been substituted

22
Q

researcher evidence for heuristic attribute

A

kahenman and trverksy 2011

23
Q

what is conjunction fallacy

A

estimating conjunction to be more probable than either individual event

24
Q

representativeness

A

assesement of degree corrospondence between sample and population, instance or catagory outcome and model

25
schemas and bias`
calculating probablity is hard so people judge based on similarity
26
base rate neglect
judging likelyhood of situation without taking into account relevent data
27
availability heuristics
immidiate examples that come to mind when making judgement
28
positive of avaliability
ecologically valid cue for judgement for frequency as frequency events are easier to recall kahneman 1982
29
errors of availability
people judge reletive importance from how easily they can recall it largly determined by the coverage by media K 2011
30
anchoring and adjustments
people select values then make adjustments
31
Anchoring meaning
insufficiently adjusting from initial value when estimating continuous variables e.g age weight
32
applied judgements
frequency value keren and teigan 2004
33
where does it fit? applied judgement
increases plausibility of particular value of target attribute kahneman and Fred 2002