bias and decision making 2 - heuristics and bias Flashcards

1
Q

what does it mean that “rationality is bounded”

A

the world is complex
decisions need to be quick
time is limited
cognitive capacities are limited

reasoning for using heuristics

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2
Q

3 reasons for using heuristics

A

rationality is bounded
ecological rationality
adaptive heuristics

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3
Q

ecological rationality (ER)

A

evolutionary perspective for why we use heuristics

rationality = how you should behave in the environment to survive rather than just by norms

correspondence is more important then coherence

  • correspondence = with environment, how cognition works in the worlds
  • coherence = logic processing

behaviour from the past may fail when the environment changes rapidly

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4
Q

adaptive value

A

value of an action across evolutionary time

evolution maximises long term expected value

  • errors are permissible if there is an overall average benefit
  • avoid costly mistakes
  • avoid high costs (this includes decision costs)
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5
Q

ecological rationality and the environmental structure

A

heuristics make assumptions about the environment

about associations and probabilities/risks

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6
Q

heuristics - features and why use them (5)

A
  • strategies in an uncertain world
  • make assumptions about world (what keeps us safe)
  • allows decision making when unable to use systematic strategies
  • don’t attempt to find optimal solution but a good enough one
  • can have biases
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7
Q

recognition heuristics

A

a bias in heuristics

works when:
you have some (not none) knowledge - likelihood of hearing an option correlates with it’s value/importance/size

doesn’t work when:
you know too much or too little
incidence isn’t related to value - can lead to systematic errors

study e.g. which of two cities is bigger
can see how well heuristics work dependent on participants knowledge of the different cities - speed cost to knowing them too well or not at all - found it harder with ones they knew the best

recognition heuristic would cause an error for example with chernoble - aware of it but it is small, may assume it is bigger than it is

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8
Q

feature of a successful heuristic

A

“fast and frugal”

ignore some info in order to be quick

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9
Q

are biases flaws?

A

no

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10
Q

heuristics

A

rules of thumb
strategies to make decisions

favours quick decision making - using less info and not a systematic strategy

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11
Q

3 examples of biases/errors as defined by norms

A

expected utility theory
laws of logic
laws of probability (e.g. conjunction problem)

deviation from these norms/laws can be seen as an error OR ecological rationality (adaptive)

–> because strategies have evolved and are adaptive so over time they become more successful than not
–> so there are systematic errors in decision making - BUT errors are more beneficial than not

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12
Q

Wasons 2-4-6 task

A

on the failure to eliminate hypotheses in a conceptual task

task:
find the rule used to create a 3 number sequence e.g. 2 4 6
can propose examples and be told if they fit or break the rule

results:
most people think of a very specific rule (e.g. ascending even numbers) and give a fitting example to test (e.g. 10, 12, 14)
because of:
–> confirmation bias
–> using a positive test strategy (only test it using examples which fit their idea of a rule)

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13
Q

test strategies (2) with Wasons 2-4-6 task

A

positive tests: seek to verify hypothesis –> but can find it false

negative tests: seek to falsify hypothesis –> but can find it true

which is best –> depends what you believe and how it relates to the truth

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14
Q

what kind of bias is a positive test strategy

A

confirmation bias

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15
Q

Wasons 2-4-6 –> use of positive test strategies when the rule is general

A

belief = rule is specific (ascending even numbers)

truth = rule is general (any 3 numbers)

positive test strategy = always confirms belief, therefore belief never improves

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16
Q

Wasons 2-4-6 –> use of positive test strategies when the rule is specific

A

belief = rule is specific (ascending even numbers)

truth = rule is specific (ascending even numbers)

positive test strategy = rapidly converges on the truth

17
Q

real life example of test strategies - knock at the door

A

you hear a knock at the door

hypothesis: someone is at the door.

positive test strategy: open the door
negative test strategy: eliminate other possible sources of knocking (check windows, pipes, wardrobe for escaped woodpeckers, etc)

fit between hypothesis and reality determines which strategy is best

18
Q

communication interpretation (with linda problem)

A

allows explanation of linda problem to be no just an error of probability –> therefore making the error NOT illogical

with the linda problem –> assume that all info is given for a reason, so use it all to make their decision –> therefore think option 2 (feminist and bank worker) is more likely to be true

19
Q

bias vs error

A

mistake = one off
systematic error = consistent

biases = making wrong choice for a reason

e.g. visual illusions that reveal mechanisms of perception heuristic errors –> reveals normal mechanisms of reasoning

20
Q

reasons we might make systematic errors (3)

A
  • use strategy optimised for a different environment
  • considering a different bundle of choices
  • use a different cost/benefit analysis
21
Q

what is a bundle of choices

A

applying a decision across similar events

e.g. mere exposure effect –> think something is familiar, tend to have a preference for it

22
Q

heuristic vs rational thinking (4 areas)

A

heuristic:

  • quick
  • automatic
  • effortless
  • unconscious

rational:

  • slow
  • deliberate
  • effortful
  • conscious
23
Q

rational vs heuristic thinking as a dual process model (2 predictions)

A

predictions:

  • features should go together
    –> no conscious heuristic thinking
    –> no unconscious rational thinking
  • people should switch between modes of thinking in the right circumstances
    –> more time => more deliberative thinking
24
Q

dual process theory

A

theory where two processes which work at the same time, or support the same capacity

  • usually work together
  • can be in conflict with each other
  • have properties like system 1 and system 2
25
Q

who are effected by biases

A

decision biases are features of normal cognitive processes (memory, attention, planning etc)

affects anyone

biases are a part of thinking

26
Q

implications for investigating bias

A

need to think WHY decision was made:

  • perception of cost/benefits
  • similar previous decisions
  • assumptions about environment

so DON’T conclude irrationality