Lecture 10- Judgement bias 1 Flashcards

1
Q

what are heuristics according to the Adaptive critique Gigerenzer et al., 1999

A

part of rational though

Ecologically-rational thinking that serves our needs to function in our environment

Underpinned by ‘bounded rationality’ theory and notion of ‘satisficing’ (Simon, 1957)
*Basically, making the best of our cognitive (and external) limitations

uses k+t heuristics by saying can make them without pros and cons

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2
Q

what is bounded rationality - simon 1957

A

Theory about thinking given constraints (still survive rationally and do well )

People are essentially rational
e.g., we try to make logical decisions
Thinking is rational if it achieves personal goals yet doesn’t comply with logic
Cognitive constraints (e.g., limited working memory)
External constraints (e.g., lack of time)
‘Satisficing’: thinking that’s effective in terms of meeting goals but imperfect when evaluated against standards of logic

we can make do - certain critteria to make do = less time

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3
Q

what is the adaptive approach

A

K & T’s heuristics and biases approach too focused on probabilistic thinking
Evolutionary perspective (e.g., Cosmides & Tooby, 1994): frequency thinking ‘adaptive’
Frequencies more evident in real world
‘Hard-wired’ to think of things in terms of their frequency, so rationality being akin to logic largely unattainable (outside of laboratory only?)

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4
Q

describe Frequencies vs. probabilities

A

Gigerenzer et al. (e.g., 1999):
Cognitive biases ‘disappear’ when probabilistic information presented in frequency format
Study by Griffin and Buehler (1999):
No effect of information presentation format on base-rate data neglect biases
e.g., ‘planning fallacy’: task duration predictions no less underestimated (optimistically-biased) when judging likelihood of each task being completed on time or number of tasks finished promptly

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5
Q

describe fast and frugal heurristics

A

Gigerenzer et al. (1999): cognitive ‘toolbox’
Contents used to make effective judgements & decisions in natural (real-world) environments
Fast and frugal heuristics (e.g., ‘recognition’) good for dealing with uncertain situations
Rarely lead to bias (unlike K & T’s heuristics)
Serve everyday needs and goals
Evidence often from computer modelling of environmental cues

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6
Q

what does evidence form fast and frugal heuristica come from

A

Evidence often from computer modelling of environmental cues

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7
Q

describe how the juggement decison making in Giergenzers study isnt always error prone

A

JDM in uncertain conditions not always error-prone despite cognitive limitations
Correct (rational) judgements and decisions often made under very uncertain conditions
e.g., fire-fighters working under extreme time pressure to quell blaze
Can’t weigh-up possible courses of action to comply with logic standards
e.g., subjective expected utility theory
Under such conditions, judgements and decisions made on basis of quick mental simulation of possible event outcomes
‘Pros’ and ‘cons’ of task/situation
Person is ‘satisficing’ due to limited time and cognitive capacity
Same heuristic process used when task knowledge limited
e.g., predicting performance of sports teams

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8
Q

what is a recognition heuristic

A

Basis for judgements and decisions when knowledge limited (Gigerenzer et al., 1999)
Study (Ayton & Önkal,1997):
No effect of prior knowledge on accuracy of judgements of performance of English football teams
Judgements made by football-naïve Ps based on recognition heuristic?
Recognised major English cities, which also tend to have more successful football teams

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9
Q

Name a study on recognition heuristics

A

Study (Ayton & Önkal,1997):
No effect of prior knowledge on accuracy of judgements of performance of English football teams
Judgements made by football-naïve Ps based on recognition heuristic?
Recognised major English cities, which also tend to have more successful football teams

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10
Q

what id judgement decusuin making based on

A

JDM based on ‘recognition’ of relationship between ‘cues’ in environment
e.g., city size and football team’s success

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11
Q

describe recognition in JDM tasks

A

‘Recognition’: ecologically-rational JDM method when knowledge limited
Based on familiarity of things that predict topic
Real-world JDM uncertain, so answers unclear
‘Recognition’: not ‘quick-and-dirty’ strategy used due to ignorance of topic or task

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12
Q

describe some other ecological heuristics in giergenziers approach

A

Other ‘ecological’ heuristics:
‘Take-the-best’:
Using best cue (predictor or source of information ) from environment
e.g., unemployment and homelessness rates
‘Elimination-by-aspects’:
Choosing by discriminating among attributes
e.g., deciding which politician to vote for based on candidates’ stance on issues of interest
e.g., taxation, immigration, abortion, etc.

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13
Q

why was giergenziers approach revused

A

Original approach generally too descriptive
e.g., ‘availability’ used to describe how event-consistent information comes to mind
Cognitive mechanisms underlying heuristics need to be identified better through research
But, original approach spawned lots of work in psychology and beyond, so was good

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14
Q

describe Gilovich, Griffin & Kahneman’s (2002) revised approach to heuristics

A

Gilovich, Griffin & Kahneman’s (2002) book:
Review: 20 years of research since first book
Presented revised and strengthened approach

No longer just ‘cognitive miser’ approach
Heuristics more than just strategies to save cognitive effort when faced with uncertainty
Link between heuristics (and biases) and dual-process accounts of rational reasoning (e.g., Evans & Over, 1996; Sloman, 1996)
Reasoning deemed as being (normatively) non-rational often useful successfully in everyday life
e.g., meeting objectives (System 1 thinking)

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15
Q

what ar the 2 types of heuristics according to Kahneman & Frederick, 2002

A

‘Automatic’ and ‘deliberate’ heuristics

‘Choosing-by-liking
Choosing-by-default’:

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16
Q

what is a ‘Automatic’ and ‘deliberate’ heuristics Kahneman & Frederick, 2002

A

Involve different cognitive processes
‘Automatic’ heuristics and System 1 reasoning
‘Deliberate’ heuristics and System 2 reasoning
Most ‘adaptive’ heuristics (e.g., ‘take-the-best’) involve System 2 reasoning
Strategies deliberately used to reduce cognitive ‘load’
Original approach’s heuristics (e.g., ‘availability’) involve System 1 reasoning
Automatic strategies not used to reduce cog. ‘load’

17
Q

what are the 2 automated choice heuristics (K & F, ‘02):

- decribe these

A

Choosing-by-liking’: deciding on basis of immediate, affective evaluation of options
e.g., walking home from a night out by route that feels safest

2) ‘Choosing-by-default’: deciding on basis of first option that comes to mind
e. g., staying with same car insurer for years despite above-inflation premium increases

18
Q

what was noted in Gilovich et al.’s (2002) book: more thorough treatment of issue of bias in cognition

A

Shortcomings of original approach noted
Gigerenzer et al.’s approach might only apply to System 2 thinking
But, ‘recognition’ heuristic bears hallmarks of System 1 thinking (‘judging by familiarity’), so more work needs to be done

19
Q

describe the Interplay between cognition and feelings explains bias in certain situations

A

2 types of heuristic needed to explain bias in dual-process thinking (System 1 and 2)?
Interplay between cognition and feelings explains bias in certain situations
‘Affect heuristic’ (e.g., Slovic et al., 2007):
Identifying negative or positive stimuli quickly
Feeling states can guide judgments and decisions under conditions of uncertainty

20
Q

how do we Use System 2 thinking to overcome bias

A

Consider base-rates & conjunction probabilities
Frequencies easier to understand than probabilities (e.g., 1 in 1000 vs. .0001), but format influences System 2’s operation
e.g., less bias when base-rates given as frequencies
Heuristics typically due to System 1 thinking, but resulting bias moderated by System 2
More complete interpretation of impact of heuristics and biases on JDM?

21
Q

what causes heuristics according to the revised approach

A

Heuristics typically due to System 1 thinking, but resulting bias moderated by System 2

More complete interpretation of impact of heuristics and biases on JDM?