decision making and reasoning Flashcards

1
Q

decision making

A

when we make decisions or judgments, we use heuristics guided by the principles of what we expect

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2
Q

psychological theory

A

framing of information as well as emotions can guide how we asses risk when we make choices - ie prospect theory

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3
Q

neuroscience

A

activity in emotional areas of the brain (amygdala) are linked to framing effects and prospect theory

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4
Q

loss aversion and amygdala processing (de martino et al, 2010)

A

people avoid gambles (choices) when they are equally likely to either lose a small amount $10 or win a larger amount $15

patients with bilateral amygdala lesions lack loss aversion on gambling tasks compared to healthy controls

suggests that amygdala plays a key role in loss aversion

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5
Q

neuroeconomics

A

studying how we make decisions, formalizing theories and linking it to the development of the brain

  • combo of economic theory, neuroscience and psychology
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6
Q

reasoning

A

a thought process that brings an individual to a conclusion

guides decision making

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7
Q

inductive reasoning

A

making general conclusions from specific observations (specific to general)

conclusions can be false - when we are unaware of inductive reasoning, it can become a heuristic

a “probably but not definitely true” type of reasoning

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8
Q

importance of inductive reasoning

A

basis of much of human learning

applying learned rules to new situations

language learning - learning the meaning of balloon when you see “purple balloon dog” when you already know ‘purple’ and ‘dog’

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9
Q

deductive reasoning

A

using general theories to reason about specific observations (general to specific)

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10
Q

logic

A

deductive reasoning: formal systems for generating statements that will be true if rules of the system are followed

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11
Q

syllogisms

A

deductive reasoning problems that involve two premises and a conclusion

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12
Q

validity of syllogisms

A

is the conclusion true given the premises’ logical form

valid = logical rules, not truth

ex. valid structure
(all A are B, all B and C, therefore, all A are C)

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13
Q

atmosphere effect

A

people rate a conclusion as valid when the qualifying words in the premise match those in the conclusion

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14
Q

mental model theory

A

people construct mental simulations of the world based on statements to judge logic and validity

why we fall for negative statements - hard to imagine the absence of something

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15
Q

omission bias

A

idea that withholding is not as bad as doing
- inaction is harder to classify as wrong than action

another reason why people have trouble reasoning with negative action

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16
Q

belief bias and syllogisms

A

people have problems reasoning with syllogisms in which logical validity conflicts with truth

the content of a syllogism can lead to errors due to belief bias - the tendency to think a syllogism is valid if the conclusions are believable

more dominant for invalid syllogisms
- when a conclusion is believable, people are much less likely to question its logic, whereas when a conclusion is unbelievable, it is much harder for people to accept, even when the logic is sound

17
Q

conditional reasoning

A

“if p then q” statements where p is the antecedent and q is the consequence

18
Q

watson’s four card test

A

ps shown 4 cards and given an if p then q statement

ex. if a card has a vowel has a vowel on one side, then it has an even number on the other side, which two cards should you flip?

E, F, 2 or 5

lots of people don’t test correctly - instead, rely on confirmation bias (tendency to seek out information that confirms what you believe)

instead, have to rely on falsification principles

19
Q

falsification principle

A

you need to look for situations that would falsify a rule

rule to solve if P then q
- choose the P card and the not Q card

20
Q

familiarity effects

A

people do better on the watson four card task on familiar topics

example:
if a person is drinking a beer (P), then the person is over 21 years old

many more people can solve this task than the more abstract version

21
Q

when do biases occur

A

when heuristics are over applied

systematically inaccurate choices that don’t reflect a current situation

22
Q

three categories of heuristics

A

ones that:
- bias how we interpret info
- bias how we judge frequency
- bias how we make predictions

23
Q

representativeness bias

A

probability that an item (person, object, event) is a member of a category because it resembles thay category

related to over use of schemas, and other preexisting knowledge structures

stereotyping, base rate neglect, and conjunction fallacy

24
Q

base rate neglect

A

we ignore important rate information when reasoning

25
Q

conjunction fallacy

A

assumes a greater number of specific facts are more likely than a single fact

26
Q

the availability bias

A

the easier it is to remember something, the more likely you’ll think it is to happen in the future (memory base bias)

affects how we estimate risk

27
Q

illusory correlations

A

linking two co occuring events and assuming a relationship

outcomes tend to be overemphasized/can affect how we predict outcomes in the world

28
Q

anchoring and adjustment heuristic

A

people’s judgements of the magnitude of something is biased by some initial value that they are exposed to

29
Q

gambler’s fallacy

A

the false belief that a predicted outcome of an independent event depends on past outcomes (assume outcomes are linked when they are random)

people continue to invest after several losses on the stock market

30
Q

hot hand belief

A

thinking that a person who experiences success will keep having success —- ‘a winning streak’

31
Q

predicting risk and optimism

A

we overestimate the likelihood of positive events happening to us and underestimate the likelihood of negative events

presence of depression moderates this effect

32
Q

post morten vs pre mortem technique

A

post: learning from failures

pre: more useful - anticipating and preventing mistakes before they result in catastrophe
- looking ahead at challenges that could cause failure
- create plan to navigate those challenges