Chapter 12: Judgement, Decisions and Reasoning Flashcards

1
Q

Reasoning

A

Cognitive processes by which people start with
information and come to conclusions that go beyond that information

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2
Q

Decision

A

Making a choice between alternatives

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3
Q

Deductive Reasoning

A

Drawing conclusions about what is true based on a set of premises (purported facts) by applying logic; Draw definite conclusions; All mammals are warm-blooded. A dog is a mammal.
→ Therefore, a dog is warm-blooded.

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4
Q

Inductive Reasoning

A

Drawing a conclusion about what is probably true based on evidence; Draw probable conclusions; You see many swans and all are white.
→ You conclude all swans are white (even though this may not be true)

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5
Q

Heuristics

A

Experience based rules that are not guaranteed to provide a correct solution and are mental shortcuts used to make judgments

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6
Q

Availability heuristic

A

Events more easily remembered are judged as being more probable than those less easily remembered; ow easily examples come to mind when estimating the likelihood of an event; Thinking shark attacks are common after watching the news—even if they’re statistically rare

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7
Q

Illusory correlations heuristic

A

Correlation thought to exist, but either does not exist or is much weaker than assumed; tendency to perceive a relationship between two variables when none actually exists, or to overestimate the strength of a relationship that does exist

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8
Q

Base Rate

A

The actual statistical likelihood of something happening, often ignored when people use heuristics.
More truck drivers than literature professors → more likely the poetry-lover is a truck driver

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9
Q

Representativeness heuristic

A

relies on how well an event seems to represent or match a specific prototype or stereotype; probability that A (person, item, etc.) comes from B (group, category, etc.) can be determined by how well A resembles properties of B; thinking someone who loves poetry is more likely to be a professor than a truck driver, despite base rates

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10
Q

Conjunction rule

A

probability of two events happening together (A and B) cannot be greater than the probability of either event happening alone (A or B);
p(A and B) must be <= p(A) and <=p(B)

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11
Q

Law of large numbers

A

emphasizes the human brain’s limited ability to accurately comprehend large numbers, often simplifying them into categories like “many” or “a lot; the larger the number of random samples, the better the estimate provided by the sample

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12
Q

The confirmation bias

A

Tendency to selectively look for information that conforms to our hypothesis and overlook information that argues against it

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13
Q

My-side bias

A

tendency to process information in a way that supports one’s own prior beliefs and opinions, while rejecting information that contradicts them

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14
Q

Backfire Effect

A

People when presented with information that contradicts their beliefs, become more confident in their original beliefs, even if the new information is accurate

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15
Q

Syllogism

A

a logical argument that uses deductive reasoning to arrive at a conclusion based on two or more premises consisting 3 parts: a major premise (a general statement), a minor premise (a specific statement), and a conclusion

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16
Q

Categorical syllogism

A

a type of deductive reasoning task where participants evaluate the validity of a conclusion based on two premises that relate to the category memberships of terms; All birds are animals. All parrots are birds. → All parrots are animals

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17
Q

Validity

A

A syllogism is valid when its conclusion follows logically from its premises and is based only on its form (is it logical); does not depend on truth

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18
Q

Truth

A

The conclusion of a syllogism is true if it correspond to real world

19
Q

Belief Bias

A

A tendency to believe that a syllogism is valid if the conclusion is believable
e.g., it is believable that some students are tired

20
Q

Mental Model Approach

A

We visualize situations in our minds to evaluate logical arguments, which are simplified versions of reality used for understanding, reasoning, and decision-making

21
Q

Conditional syllogisms

A

Draw a conclusion based on whether or not premise p
is true; “If p, then q”; If it rains, the ground gets wet

22
Q

Antecedent vs Consequent

A
  • the conditional premise p may/may not be true “if”
  • q the consequence of p being true “then”
23
Q

Modus Tollens

A

a form of logical inference where, given a conditional statement If P, then Q.
Not Q.
→ Therefore, not P

24
Q

Affirming the Consequent

A

a logical fallacy in cognitive psychology where someone incorrectly assumes that if the “then” part of a conditional statement (the consequent) is true, then the “if” part (the antecedent) must also be true; If P, then Q.
Q.
→ Therefore, P

25
Deny the Antecedent
a logical fallacy in cognitive psychology where someone incorrectly concludes that if a specific condition (P) is not met, then the expected outcome (Q) will also not occur; If P, then Q. Not P. → Therefore, not Q
26
Falsification principle
to test a rule, you must look for situations that falsify the rule
27
Pragmatic reasoning schema
cognitive frameworks used to make inferences and solve problems in real-world situations; General knowledge about cause-effect in real-world contexts helps us reason; If you borrow a book, you must return it.
28
Permission schema
Specific form of pragmatic reasoning: If a person meets a condition, then permission is granted. If you’re drinking alcohol, you must be over 21
29
Evolutionary Perspective on Cognition
Suggests reasoning evolved to help us survive and cooperate. This explains why we're better at solving logic problems framed as social rules or cheating detection
30
Social Exchange Theory
suggests that people assess the costs and rewards of social interactions and relationships, making decisions based on a perceived net benefit; detect cheating in social interactions—supports the idea that we’re good at permission-based logic
31
Expected Utility Theory
a cognitive perspective on decision-making that suggests People make decisions by calculating which option has the highest expected payoff (utility). Problem: Doesn’t always account for emotions or biases
32
Expected emotions
Emotions you think you’ll feel after making a decision. These can bias choices. Overestimating how bad you’ll feel after a loss → you play it too safe
33
Immediate emotions
Experienced at the time a decision is being made
34
Risk Aversion Strategy
Tendency to overestimate negative consequences can lead to a tendency to avoid risky decisions; Choosing a sure thing to avoid potential loss
35
Integral Immediate Emotions
Emotions that are associated with the act of making a decision e.g., anxiety or fear associated with an important decision
36
Incidental Immediate Emotions
emotions that are unrelated to the decision due to: a person’s general disposition, mood
37
Framing Effect
decisions are influenced by how a decision is stated; Different descriptions can place emphasis on different aspects of the situation
38
Risk-aversion strategy
tendency of individuals to prefer outcomes that are certain over those that involve uncertainty, even when the uncertain option may lead to a better expected outcome; Choosing a sure thing to avoid potential loss
39
Risk-taking strategy
understanding how individuals make decisions under uncertainty, weighing potential rewards and consequences; Choosing the gamble to possibly avoid a loss
40
Prefrontal cortex (PFC)
key brain region involved in decision-making, acting as the brain's "executive center" for higher-order thinking and cognitive control; plays distinct roles in evaluating options, managing conflicts, and making choices based on past experiences and future goals
41
Neuroeconomics
A new approach to studying economic decision making, combines research from psychology, neuroscience, and economics
42
Personal vs. Impersonal Decisions
- Personal dilemmas, where actions directly cause harm to a specific person, tend to trigger emotional responses and involve regions like the medial frontal gyrus and amygdala - impersonal dilemmas, where harm is indirect or the result of a larger system, rely more on cognitive control processes in areas like the dorsolateral prefrontal cortex
43
Anterior insula
brain area associated with negative emotional states, including: pain, distress, hunger, anger, and disgust
44
Omission bias
tendency to do nothing to avoid making a decision that could be interpreted as causing harm; Letting someone die by not giving medicine rather than giving a drug that might fail