heuristic Flashcards
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what is heuristics
cognitive shortcuts
fast and frugal examples
recognition
recognition heuristics
recognise one not the other, chose recognised one
cues?
rank cues through eco validity then discriminate between them
discrimination cues
cue worked last time use that
or
pick one at random, minimalist
dimond principle
- recognition
- cue value
3.discrimination rule
probabilistic mental model
cognitive mechanisms for making decisions
who came up with fast and frugal heuristics
gigerenzer 91 and goldstein 96
what is the key process
search for relevent cues that enable choice between different outomes
stop when discriminating cue is found
one reason decision making
evidence for fast and freugal
gigerenzer and goldstein 1996
gigerenzer and goldstein 1996
human studies of population judgements
90% made in accordance with recognition
limitation of fast and freugal
empirical evidence is limmited
difficulty controlling knowledge peiple might use when making judgements 2003
people use more than one source of information
how to judge judgement
correspondence theory
coherence theory
correspondence theory
judgements correspond with world
gigerenzer ecological rationality 1999
coherence theory
processing of information is rational
tversky and kahneman heuristic bias
judgement deviates from normative laws and there errors
tversky and kahneman
which heuristics people use when under uncertainty and resulting in practicable bias
failures of coherence
focused on error led to pessimistic view of judgement
what concepts does heuristics bias relies on q
attribute substitution,
natural assesement
_ kahneman and Fredrick 2002_
attribution substitution
making hard judgements people switch to heuristic attribute as easier to judge
how representative is it
natural assessment
judging using properties like size distance or cognitive fluency
evidence for heuristic attributes
target attributes highly correlate with judgements of heuristic attributes with which have been substituted
researcher evidence for heuristic attribute
kahenman and trverksy 2011
what is conjunction fallacy
estimating conjunction to be more probable than either individual event
representativeness
assesement of degree corrospondence between sample and population, instance or catagory outcome and model
schemas and bias`
calculating probablity is hard so people judge based on similarity
base rate neglect
judging likelyhood of situation without taking into account relevent data
availability heuristics
immidiate examples that come to mind when making judgement
positive of avaliability
ecologically valid cue for judgement for frequency as frequency events are easier to recall kahneman 1982
errors of availability
people judge reletive importance from how easily they can recall it largly determined by the coverage by media K 2011
anchoring and adjustments
people select values then make adjustments
Anchoring meaning
insufficiently adjusting from initial value when estimating continuous variables e.g age weight
applied judgements
frequency value keren and teigan 2004
where does it fit? applied judgement
increases plausibility of particular value of target attribute kahneman and Fred 2002