Cognition and Language Week 10: Decision-Making and Judgement Bias

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150 flashcards based on the lecture notes 'Cognition and Language (CaL) Week 10: Decision-Making and Judgement Bias', covering utility theory, heuristics, framing effects, and prospect theory.

Last updated 9:32 PM on 7/24/26
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159 Terms

1
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What is the primary topic of the Week 10 lecture in the Cognition and Language unit?

Decision-Making and Judgement Bias

2
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Who is the lecturer for the session on Decision-Making and Judgement Bias?

Kevin Thomas

3
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What is the attendance check code for the lecture session?

823367823367

4
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According to the lecture, what are the two main components of a decision task?

Costs (cons) and benefits (pros)

5
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How are 'costs' defined in the context of decision-making?

Factors that take us away from our goal

6
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How are 'benefits' defined in the context of decision-making?

Factors that take us towards our goal

7
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What is the expected value of a 50%50\% chance of getting £20£20 and a 50%50\% chance of getting nothing?

£10£10

8
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In decision-making literature, what is another term for 'value'?

Utility

9
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Why is value considered too subjective to be measured solely in money?

Because everything has personal value that differs among individuals

10
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According to logical principles, how should one handle a decision task?

Weigh-up (weight) benefits against costs to maximise value

11
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List three positive attributes ('FOR') identified for going away to university.

Make new friends, learn new things, move to a better place, have more freedom, have more fun, get a better job

12
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List three negative attributes ('AGAINST') identified for going away to university.

Lack of money, incurring debt, losing contact with friends, missing family, feeling lonely, unfamiliar surroundings

13
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In the weighting value model for university, what is the value range assigned to 'FOR' attributes?

11 to 1010

14
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In the weighting value model for university, what is the value range assigned to 'AGAINST' attributes?

1-1 to 10-10

15
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On what basis is a decision made in the simple weighting value model?

The highest absolute (+ or +\text{ or } -) value

16
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In the combined weighting model, how is a decision based?

The highest absolute combination of estimated probability (00-11) and value weighting

17
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What is the calculation for the 'FOR' value in the university example?

(9×0.6)+(7×0.7)=+10.3(9 \times 0.6) + (7 \times 0.7) = +10.3

18
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What is the calculation for the 'AGAINST' value in the university example?

(5×0.9)+(4×0.8)=7.7(-5 \times 0.9) + (-4 \times 0.8) = -7.7

19
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What does 'Subjective Expected Utility (SEU)' theory represent?

A normative theory describing how decisions should (ought to) be made

20
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In SEU theory, what does 'Expected' refer to?

Trying to imagine decision outcomes and their consequences in advance

21
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What does 'Utility' refer to in SEU theory?

The usefulness or value of things

22
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What is the formula for the Subjective Expected Utility (SEU) calculation?

P(attribute 1)×U(attribute 1)+P(attribute 2)×U(attribute 2)P(\text{attribute } 1) \times U(\text{attribute } 1) + P(\text{attribute } 2) \times U(\text{attribute } 2)\dots

23
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In the SEU formula, what do 'P' and 'U' represent?

P=probabilityP = \text{probability}; U=utilityU = \text{utility}

24
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What kind of orientation does SEU theory have?

Mathematically-orientated

25
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What are 'trade-offs' in utility theory?

Choosing an option based on attributes best suited to needs given constraints

26
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What is the primary goal of decision-making according to utility theory?

To maximise utility

27
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How is 'utility' defined in the context of the decision-maker's goal?

What is best for the decision-maker or an outcome that 'ticks enough boxes'

28
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Is Subjective Expected Utility theory considered psychologically-plausible?

No

29
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Define the principle of 'descriptive invariance'.

The description of decision task options should not influence the option chosen

30
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According to 'descriptive invariance', what determines choice?

Utility of options, not their description

31
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Who conducted the seminal study in 19811981 on 'descriptive invariance'?

Tversky and Kahneman

32
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What was the core difference between the two versions of the scenario in the Tversky & Kahneman (19811981) study?

One version emphasised loss, while the other version emphasised gain

33
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In the Asian disease scenario, how many people were expected to die if no action was taken?

600600 people

34
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In the 'gain' version of the Asian disease study, what was the safe option (Treatment 1)?

200200 people will be saved

35
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In the 'gain' version of the Asian disease study, what was the risky option (Treatment 2)?

11 in 33 chance 600600 saved and 22 in 33 chance no-one saved

36
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In the 'loss' version of the Asian disease study, what was the safe option (Treatment 1)?

400400 people will die

37
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In the 'loss' version of the Asian disease study, what was the risky option (Treatment 2)?

11 in 33 chance no-one dies and 22 in 33 chance 600600 die

38
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What percentage of participants chose the safe option in the 'gain' version of the disease study?

72%72\%

39
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What percentage of participants chose the risky option in the 'gain' version of the disease study?

28%28\%

40
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What percentage of participants chose the safe option in the 'loss' version of the disease study?

22%22\%

41
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What percentage of participants chose the risky option in the 'loss' version of the disease study?

78%78\%

42
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What do the results of the Asian disease study indicate about the 'descriptive invariance' principle?

The principle is violated because choices differed based on framing despite identical expected utility

43
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Define the 'Framing effect'.

The phenomenon where decisions are affected by the presentation or 'framing' of options

44
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How do decisions change for tasks 'framed' in terms of loss?

Decisions become more risky (risk-seeking)

45
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How do decisions change for tasks 'framed' in terms of gain?

Decisions become less risky (risk-averse)

46
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In the context of the framing effect, what does a positive frame lead to?

Risk-aversion

47
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What is a 'negative frame' associated with in decision-making?

Risk-seeking

48
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The framing effect is a violation of which theory's principle?

The 'invariance principle' of utility theory (UT)

49
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What is the difference between forced-choice risk decisions and judgement tasks?

Judgement tasks do not involve forced-choice decision-making

50
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According to Thomas et al. (20112011), when were intentions to reduce skin cancer risk greater?

When info emphasised the dangers of not protecting skin (negative framing)

51
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What was the findings of O’Keefe and Jensen (20072007) regarding message framing?

Positive framing is generally more effective, but the type of health issue affects which frame works best

52
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Who proposed Prospect Theory in 19791979?

Kahneman and Tversky

53
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Is Prospect Theory a descriptive or normative theory?

Descriptive theory

54
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What does Prospect Theory explain?

How decisions are made and how they deviate from normative standards

55
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On what basis are 'prospects' evaluated according to Prospect Theory?

Expected subjective value (utility) of outcomes, rather than expected monetary value

56
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Who originally suggested in 17381738 that outcomes are evaluated by subjective utility?

Bernoulli

57
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According to Prospect Theory paradigm studies, which option is chosen more often between a guaranteed £400£400 and a 50%50\% chance of reaching £500£500 from £300£300?

The guaranteed option (risk-averse when gains emphasised)

58
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Identify three names for theories focused on rational decision-making criteria.

Utility theory (UT), subjective expected utility (SEU) theory, or expected utility theory (EUT)

59
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Which theory describes decision-making processes and explains non-rational phenomena like the 'framing effect'?

Prospect theory

60
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In MCQ 1 from the lecture, which problem was used to initially identify the 'framing effect'?

Asian Disease Problem

61
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What are cognitive heuristics?

Reflexive mental shortcuts used to simplify complex cognition and increase speed

62
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What is a potential downside of using cognitive heuristics?

They can lead to bias or error because not all relevant information is considered

63
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Provide an example of a bias caused by a heuristic from the lecture.

Buying an unreliable car because its appearance is more influential than its mechanical attributes

64
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When are heuristics typically used?

Under 'uncertain conditions' where outcomes are unknown

65
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Identify three causes for the use of heuristics.

Cognitive limitations (working memory/attention), external constraints (limited time), and motivational constraints

66
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How can relying on easy-to-retrieve memory lead to bias in social situations?

Using stereotypes rather than taking time to learn about a colleague's background

67
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Whose approach challenged the dominance of normative models of thinking in the 19701970s and 8080s?

Kahneman and Tversky

68
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Kahneman and Tversky proposed that thinking under uncertainty is due to what?

A few simplifying mental strategies (shortcuts)

69
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In what year did Daniel Kahneman win the Nobel Prize for Economics?

20022002

70
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List the three major cognitive heuristics identified by Kahneman and Tversky.

Availability, Representativeness, and Anchoring and Adjustment

71
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Define the 'Availability' heuristic.

Judging something based on ease of recall or mental simulation of consistent info

72
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Define the 'Representativeness' heuristic.

Judgements based on similarity between seemingly-related things

73
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Define the 'Anchoring and Adjustment' heuristic.

Judgements based on numerical information where bias occurs from insufficient adjustment from an initial 'anchor'

74
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In the availability study regarding house fires, what served as the 'memory-prime'?

Reading a newspaper article about a house fire

75
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In the study by Tversky & Kahneman (19821982), why did people wrongly judge that more words start with 'R' than have it as the third letter?

Easier to think of examples starting with 'R' (greater cognitive availability)

76
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What is the actual ratio of words with 'r' as the third letter compared to words starting with 'R' in English?

3×3 \times as many words have 'r' as the third letter

77
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Representativeness heuristic often leads to the violation of which normative principle?

Bayes' theorem

78
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In the 'Taxi cab' study (19721972), what was the base-rate percentage for blue taxis?

15%15\%

79
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In the 'Taxi cab' study (19721972), what was the base-rate percentage for green taxis?

85%85\%

80
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What was the witness's accuracy rate in the 'Taxi cab' study?

80%80\%

81
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What data did participants ignore in the 'Taxi cab' study during their judgements?

The base-rate data (proportions of taxis in the city)

82
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Explain the 'Conjunction fallacy'.

A thinking error where two or more things are judged as more likely to occur together than each thing separately

83
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The conjunction fallacy violates which rule of probability theory?

The 'extension rule'

84
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According to the 'extension rule', what must the probability of two events occurring together be?

Less likely than each event occurring on its own

85
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In the BU student example, if 2%2\% speak Icelandic, what is the chance of meeting a student who speaks Icelandic?

22 in 100100

86
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Whose characteristics were used in the 19831983 study testing the conjunction fallacy?

'Linda'

87
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In the 'Linda problem', what did most participants judge more likely than Linda being a bank teller?

Linda being a 'feminist bank teller'

88
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Which study used a 'random' number to influence judgements of African nations in the UN?

'Wheel of fortune' study (19741974)

89
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In the Wheel of Fortune study, what was the 'low anchor' value?

11

90
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In the Wheel of Fortune study, what was the 'high anchor' value?

6464

91
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What happened to judgements in the low-anchor condition of the Wheel of Fortune study?

Underestimation

92
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What happened to judgements in the high-anchor condition of the Wheel of Fortune study?

Overestimation

93
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Why are judgements biased in the direction of the anchor in the anchoring heuristic?

Because of insufficient adjustment from the anchor

94
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Define the 'Overconfidence' bias.

The tendency to overestimate one's ability, often in probabilistic reasoning or future events

95
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Define the 'Over-optimism' bias.

The tendency to underestimate time needed (e.g., for an essay)

96
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What is the common cause for both overconfidence and over-optimism?

Neglect of base-rate data

97
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What is 'case-specific reasoning'?

Judging based on a single instance or example

98
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Define the 'Planning fallacy' bias.

Underestimating future task duration despite knowing that previous tasks overran

99
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What factors contribute to the planning fallacy?

Neglect of base-rate data and focusing on aspects of the current task

100
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What can reduce the underestimation of the planning fallacy?

Prior task experience