Week 7 Lecture 6 - reasoning and decision making Flashcards

1
Q

What are heuristics?

A

Simplifying strategies that reduce effort but are prone to bias/error

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2
Q

What is ecological rationality?

A

Apparent biases may be rational responses given then ecology of the human decision making

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3
Q

What are 2 explanation for why humans are bad at making probability judgements?

A
  • heuristics
  • ecological rationality
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4
Q

What are the 2 systems involved in your decision making?

A
  • fast intuitive one (used most)
  • slow rational one
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5
Q

What are 3 examples of heuristics?

A
  • availability
  • representativeness
  • anchoring
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6
Q

What is the availability heuristic?

A

If you can bring to mind something e.g., an event, it is likely that it occur frequently, if you cannot it is likely not a common occurrence

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7
Q

How can availability heuristics bring in error?

A

may be more likely to remember shocking or frightening events leading you to think they occur often e.g., shark attacks

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8
Q

What did a study find when asking people to estimate causes of death? Which heuristic is this consistent with?

A

people:
- overestimate rare events
- underestimate common events

consistent with availability heuristics

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9
Q

What did a study investigating the effect of memory on availability find?

A
  • it is easier to remember famous names than less famous names
  • ppts judged that the gender with famous names was more frequent (as it is easier to bring the famous names to mind)
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10
Q

What can the availability heuristic lead to?

A

The conjunction fallacy

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11
Q

What is the conjunction fallacy?

A

A common reasoning error in which we believe that when two events are happening in conjunction one is more probable than the other
This is because people will find one easier to bring to mind than the other so think it occur more often

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12
Q

Given an example of a conjunction fallacy

A

“In 4 pages of a novel, how many words would you expect to find that have the form “___ing” and “_____n_”

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13
Q

What is the representativeness heuristic?

A

judgements of probability are based on assessments of similarity

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14
Q

What is base rate neglect an example of?

A

the representativeness heuristic

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15
Q

What is base rate neglect?

A

the tendency to underweight base rate or prior information compared with current, individuating information when estimating probability of uncertain events

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16
Q

What is the anchoring heuristic?

A

the assimilation of a numeric estimate towards another, anchor value

17
Q

What is “anchor-and-adjust”?

A

we use the anchor as an initial estimate of the target value and adjust from that starting point in the right direction; because the adjustment is effortful, we often adjust insufficiently and so our judgment is biased towards the anchor value

18
Q

What is a potential issue with the anchoring heuisitc?

A

Incentive, warnings and cognitive capacity have little effect on accuracy
Many other mechanism produce the same effect

19
Q

What are 2 formats of ecological rationality?

A
  • natural frequencies
  • misperception of randomness
20
Q

What is the inverse fallacy?

A

the mistaken belief that the probability of the data given the null hypothesis, P(D|H0), is equivalent to the probability of the null hypothesis given the data, P(H0|D).

21
Q

What does Bayes theorem tell us about probabilties?

A

Bayes’ theorem tells us how we should update our beliefs to give the posterior probability that H is true, given our prior belief and the new data

22
Q

What are natural frequencies?

A

A joint frequency of two events, such as the number of patients with disease and who have a positive test result, and is an alternative to presenting the same information in conditional probabilities

presenting information with rational numbers rather than percentages is easier to understand

23
Q

Are people good at judging when something is random or not?

A

no

24
Q

What is the Gambler’s Fallacy consistent with?

A

Misconceptions of randomness

25
Q

What is the Gambler’s Fallacy?

A

The belief that a run of one outcome increases the probability of another (when the events are actually independent)

26
Q

Give an example of the Gambler’s Fallacy

A

the probability of getting “heads” from a fair coin is the same after a run of 3 heads as after a run of 3 tails

27
Q

What is the Hot Hand Fallacy consistent with?

A

Misconceptions of randomness

28
Q

What is the Hot Hand Fallacy?

A

the expectation of “streaks” in sequences of hits and misses whose probabilities are, in fact, independent

29
Q

Give an example of the Hot Hand Fallacy?

A

basketball fans belie that a player’s next shot was more likely to score after a run of successful shots than after a run of misses

30
Q

Which heuristic can be used to explain both the Gambler’s Fallacy and the Hot Hand Fallacy?

A

The Representativeness heuristic

Problematic as the same heuristic is being used to explain opposite effects

31
Q

What is an alternative explanation for the Gambler’s Fallacy?

A

Past experience:
- Inappropriate generalization of past
experience
- Random mechanical outcomes = Sampling without replacement
- Intentional human performance = Positive
recency

e.g., taking a red sweet from a bowl means its less likely to take another red sweet next time

32
Q

What is an alternative explanation for the Hot Hand Fallacy?

A

Past experience:
- many aspects of intentional human performance really do show positive recency.
- e.g., If you practice a new game, your shooting success will increase.
- HHF = an appropriate generalization of past experience to situations which also use human performance, but where the outcome probabilities are in fact independent.

33
Q

How could memory constraints explain misconceptions of randomness?

A

that the supposed “fallacies” of human judgment and decision-making are often perfectly rational given the finite and imperfect information afforded by the environment and our limited mental capacities.

34
Q

What are 2 realistic conditions to consider about the human condition when looking at the properties of fair coin toss

A
  • People only ever see finite sequences
  • People can only hold a short subsection of
    a sequence in memory (e.g., the last 4
    outcomes)