bu 3 6 rule: a card with a vowel (p) will have an even number on the other side (q). which card or...
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B U 3 6
Rule: A card with a vowel (p) will have an even number on the other side (q). Which card or cards should be turned over to test the rule?
People do pretty well applying modus ponens but have trouble applying modus tollens. (The problem is easier when real world examples are used.)
~ p p ~ q q
HeuristicsRepresentativenessAvailabilitySimulation
Problem solvingGestalt influenceInsightFunctional fixednessEinstellungAnalogies (see Goldstein)
Heuristicgeneral rule (“rule of thumb”)lacks detailsworks much of the time
but prone to error
Algorithmspecific rule or procedure (formula)often detailed, intricatehighly accurate
(gives correct answer as long as applied correctly)
HeuristicsRepresentativeness
LOTTO 1 2 3 4 5 6
14 4 23 9 18 35
Which set of numbers is more likely to be thewinning combination?
HeuristicsRepresentativeness
(1) people try to apply their knowledge of a process to generate possible answers or judge the likelihood of an event
LOTTO drawing: random process;people pick a number that appears more random (less orderly)
This error reflects an insensitivity to sample size.
HeuristicsRepresentativeness
(2) people apply their knowledge of a very large sample (population) to an event, focusing onthe similarities
Stereotypes (very general info about a group)irrelevant information (that fits a
stereotype)can influence judgements – to the extent
that important, relevant info is overlooked
Stereotypes80 people in room
60 medical doctors, 20 academics
H. R. is dressed in a coat and tie. His appearance is tidy. He is personable, and his communication is direct. He enjoys playing squash and likes driving BMWs.
L. J. is dressed in pants and a loose-fitting shirt. His appearance is a bit unkempt. He is personable, and his communication is long-winded. He enjoys reading mysteries and riding bicycles.
What is the probability that H. R. is a medical doctor?What is the probability that L. J. is a medical doctor?
Stereotypes
80 people in room60 medical doctors20 academics
The extra info biases one’s estimate of an individual being a doctor or an academic. (Basically, info that fits with a stereotype is misapplied to an individual.)
HeuristicsAvailability highly accessible info influences judgments
Frequency biasmemory for relative frequencies of different types of info can be quite good under controlled conditions
in the real world, though, a person’s viewscan influence how he/she encodes events
confirmation bias; frequencies of events in memory may be inaccurate
Familiarity bias
how familiar info is influences judgements(research often done with famous and nonfamous names); people overestimate likelihoods based on fame/familiarity
Salience (Vividness) bias
big events (or events with lots of remembered details) influence judgments; people overestimate likelihoods based on big events
HeuristicsSimulation
application of a change in a sequence ofevents shifts the outcome (or probabilityfor that outcome) of the event
Undoing heuristictypically a less usual event is changedto a more usual event; downhill change
far less likely, a usual event is changedto a less usual event; uphill change
HeuristicsSimulation
application of a change in a sequence ofevents shifts the outcome (or probabilityfor that outcome) of the event
Focus rulechanges more likely to be made aroundthe subject of focus
HeuristicsSimulation
application of a change in a sequence ofevents shifts the outcome (or probabilityfor that outcome) of the event
Hindsightevent seems more likely after the fact
Anticipation of eventsthought of favourable outcomes blindsus to negative outcomes;leads to overestimation of a positive outcome
HeuristicsRepresentativenessAvailabilitySimulation
Problem solvingGestalt influenceInsightFunctional fixednessEinstellungAnalogies
Problem solvingGestalt influence
early research on “insight” -- chimp
Later research on humanssubjective experience of insight
different from other problem solving
solution comes all of a sudden in insightsolution feels like it comes more gradually
with other problems (e.g., algebra)
(see “warm” ratings in Goldstein)
Problem solvingProblems associated with problem solving
Functional fixedness(solution) is slowed or prevented by a focus on objects usual function
a solution may require the novel application of an object
Problem solving
Need 100 liters of H2O.
Have 3 containers of which the capacity is known
Container A = 21 litersContainer B = 127 litersContainer C = 3 liters
How to measure out 100 liters?
Problem solving
Need 100 liters of H2O
Have 3 containers of which the capacity is known
Container A = 21 litersContainer B = 127 litersContainer C = 3 liters
How to measure out 100 liters? B – C – C – A
Problem solving
Need 18 liters of H2O
Have 3 containers of which the capacity is known
Container A = 15 litersContainer B = 39 litersContainer C = 3 liters
How to measure out 18 liters?
Problem solving
Need 18 liters of H2O
Have 3 containers of which the capacity is known
Container A = 15 litersContainer B = 39 litersContainer C = 3 liters
How to measure out 18 liters?B – C – C – A
Problem solving
Need 22 liters of H2O
Have 3 containers of which the capacity is known
Container A = 18 litersContainer B = 48 litersContainer C = 4 liters
How to measure out 22 liters?
Problem solving
Need 22 liters of H2O
Have 3 containers of which the capacity is known
Container A = 18 litersContainer B = 48 litersContainer C = 4 liters
How to measure out 22 liters?B – C – C – A
Problem solving
Need 25 liters of H2O
Have 3 containers of which the capacity is known
Container A = 28 litersContainer B = 76 litersContainer C = 3 liters
How to measure out 25 liters?
Problem solving
Einstellung – “mind set”approach to a problem
Set effects (or negative set effects) use of a set approach impedes
performance
HeuristicsRepresentativenessAvailabilitySimulation
Problem solvingGestalt influenceInsightFunctional fixednessEinstellungAnalogies (see Goldstein)