11. Reasoning and decision making Flashcards

1
Q

what do people (compared to computers) do when faced with logical problems?

A

Faced with logical problems, people often come to conclusions that are judged as incorrect from the perspective of formal logic and mathematics
• On the other hand, computer systems that are based on formal logic make so many silly mistakes that humans never make

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2
Q

what are the four areas where human irrationality is often found?

A

– Reasoning about conditionals
– Reasoning about quantifiers
– Reasoning about probabilities
– Decision making

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3
Q

What is an example deductive reasoning?

A

Broad to specific. Reasoning in situations where the conclusions can be determined to follow with certainty from the premises
E.g.

– Fred is the brother of Mary.
– Mary is the mother of Lisa.
THEREFORE
– Fred is the uncle of Lisa.

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4
Q

What is inductive reasoning

A

specific to broad. Reasoning in situations in which the conclusions follow only probabilistically from the premises

E.g.
– Fred is the brother of Mary.
– Mary is the mother of Lisa.
THEREFORE
– Fred is older than Lisa.
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5
Q

what is a conditional statement?

A

– If A, then B

– An assertion that if an antecedent (A) is true, then a consequent (B) must be true

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6
Q

what was involved in wason’s selection task?

A
  • If a card has a vowel on one side, then it has an even number on the other side.
  • If a card has a vowel on the one side, then it has an even number on the other side.
  • In other words, neither a vowel nor a consonant on the other side of 4 will falsify the rule.
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7
Q

what were the results of Wason’s selection task?

A

Only 10% of participants made the right combination of choices (i.e., E and 7)

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8
Q

What do people have difficulty with according to Wason’s selection task?

A

When presented with neutral material, people have particular difficulty in recognizing the importance of exploring the negation of the consequent

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9
Q

what is permission schema?

A

Performance on the selection task can be enhanced when the material has meaningful content

e.g.
• Griggs and Cox (1982)
– If a person is drinking a beer, then the person must be over 19.

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10
Q

What were the results of Griggs and Cox (1982) study?

A

74% of the participants in Griggs and Cox (1982) selected the logically correct combination

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11
Q

What is the relation between Permission schema and Wason’s selection task?

A

When the conditional statement is interpreted as a rule about what should be the case, performance on the Wason’s selection task tends to be enhanced

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12
Q

Why do we perform so poorly on the original Wason’s selection task?

A

People tend to select cards that will be informative under a probabilistic model, not a strict logical model
– If A, then B
–> B will probably occur when A occurs

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13
Q

What was Oaksford and Cater (1994)’s study in Probablistic interpretation?

A

If a car has a broken headlight, it will have a broken taillight.

• Which cars in the parking lot would you check?
– If a car has a broken headlight, it will have a broken taillight.
– Four choices:
• Cars with broken headlights
• Cars without broken headlights
• Cars with broken taillights
• Cars without broken taillights

first and last are the logically correct choices

• Finding cars that have broken headlights would be reasonable
– There wouldn’t be many of them anyway
– If you find one, it is necessary to check its taillight
• However, do you really want to check all cars that have intact taillights?
• Cars with broken headlights/taillights are very rare
– Thus, if you find a car with a broken taillight, checking it to see whether it also has a broken headlight helps you make reasonable inference
• It is not logical, but informative choice

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14
Q

What do we tend to do according to probablistic interpretation?

A

We tend to interpret conditional statements on the basis of a
probabilistic model, not a strict logical model
– because doing so actually makes sense in many situations in real life

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15
Q

what might probalistic interpretation provide an explanation for?

A

This might be one reason why making the correct (=logical) choice in the original Wason’s selection task is sodifficult

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16
Q

what is prior probability?

A

The probability that a hypothesis is true before consideration of the evidence

17
Q

what is posterior probability?

A

The probability that a hypothesis is true after consideration of the evidence

18
Q

what needs to be taken into account when calculating posterior probability?

A

– Prior probability (base rate)
– Evidence
– How reliable the evidence is

19
Q

what does Bayes’s theorem calculate?

A

computes the posterior probability

20
Q

what is base-rate neglect?

A

People often fail to take base rates into account in making probability judgments

21
Q

what was Hammerton (1973)’s study on reasoning about probabilities?

A

– Suppose you take a diagnostic test for a rare form of cancer
– Only 1 in 10,000 people have this cancer
– This cancer results in a positive test 95% of the time
– If a person does not have the cancer, the probability of a positive result is 5%
– If you get a positive result, how do you feel
about it?

• Many people feel that the positive result means their chance of actually having the cancer is 95%
• However, the fact that this type of cancer is very rare (0.01%) is not taken
into account
• The actual probability of having this cancer (given the positive result) is only
0.19%

22
Q

what is the judgement of probability?

A

We can be biased in our estimates of probabilities when we must rely on factors such as memory and similarity judgments

23
Q

What was Tversky and Khneman (1974)’s study on judgement of probability?

A

Participants estimated the proportion of English words:
• that begin with k (e.g., kettle)
• with k in the third position

24
Q

what is subjective utility in decision making?

A

– The subjective value someone places on something
– It usually forms a non-linear function
– The subjective value decreases more steeply in negative direction

25
Q

how do people made decisions under uncertainty?

A

People make decisions under uncertainty in terms of subjective utilities and subjective probabilities

26
Q

what is the framing effect?

A

The tendency to make different choices among the same alternatives, depending on the statement of the alternatives
• e.g., getting $5 discount off a $15 item seems larger than getting the same amount of discount off a $125 item

27
Q

what was Kahneman & Tversky, 1984 ‘s study on the framing effect?

A

Imagine that the U.S. is preparing for the outbreak of an unusual Asian disease, which is expected to kill 600
people. Two alternative programs to combat the disease have been proposed

• If Program A is adopted, 200 people will be saved.

72%

• If Program B is adopted, there is a 1/3 probability that 600 people will be saved and a 2/3 probability that no one will be saved.

28%

• If Program C is adopted, 400 people will die.
22%

• If Program D is adopted, there is a 1/3 probability that nobody will die and a 2/3 probability that 600 people will die.

78%

28
Q

when do framing effects occur?

A

Framing effects occur when there is no clear basis for choice
• In such situations, we tend to make a decision not on the basis of which decision is actually the best but on the basis of which will be easiest to justify