Chapter 12 Deductive Reasoning Flashcards

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1
Q

Deductive reasoning

A

Given some specific premises, judge whether those premises allow you to draw a particular conclusion based on the principles of logic

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2
Q

Conditional/propositional reasoning task

A

Describes the relantionship between conditions;
If… then…; judged as valid or invalid

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3
Q

Syllogism

A

Two statements that we must assume to be true, plus a conclusion

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4
Q

Propositional calculus

A

A system from categorizing the four kinds of reasoning used in analyzing propositions/statements

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5
Q

Antecedent

A

The first proposition or statement; the antecedent is contained in the “if…” part of the sentence

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6
Q

Consequent

A

The proposition contained in the “then…” part of the sentence

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7
Q

Affirming the antecedent

A

Means that you say the if part of the sentence is true the kind of reasoning leads to a valid or correct conclusion

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8
Q

The fallacy of affirming the consequent

A

You say the then part of the sentence is true. This kind of reasoning leads to an invalid conclusion

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9
Q

The fallacy of denying the antecedent

A

You say the if part of the sentence is false. Denying the antecedent also leads to an invalid conclusion

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10
Q

Denying the consequent

A

You say the then part of the sentence is false. This kind of reasoning leads to a current conclusion

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11
Q

Dual-process theory

A

Type 1 processing- fast and automatic
Type 2 processing- slow and controlled

Applies to both deductive reasoning and decision making

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12
Q

Difficulties with Linguistically Negative Information

A

People take longer to evaluate problems that contain linguistically negative information.
People are more likely to make errors on these problems.
causes working memory strain, especially when denying the antecedent or denying the consequent
leads to frequent errors when translating the statement into more accessible, linguistically positive forms

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13
Q

Difficulties with Abstract Reasoning Problems

A

People are more accurate when they solve reasoning problems that use concrete examples rather than abstract, theoretical examples.
diagrams can be helpful
Everyday knowledge may override the principles of logic.

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14
Q

Belief-Bias Effect

A

When people make judgments based on prior beliefs and general knowledge, rather then on the rules of logic

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15
Q

Confirmation bias

A

People tend to try to confirm or support a hypothesis rather than try to disprove it

people are eager to affirm the antecedent, but reluctant to deny the consequent by searching for counterexamples.

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16
Q

The Confirmation Bias
Concrete Versions of the Wason Selection Task

A

replace numbers and letters with concrete situations from everyday life
People perform much better when the task is concrete, familiar, and realistic.
Griggs and Cox (1982)—drinking age example
Performance improved when task implies a social contract.

17
Q

The Confirmation Bias
Applications in Medicine

A

People seek confirming evidence when self- diagnosing disorders (e.g., insomnia).
Both medical students and psychiatrists tend to select information consistent with their original diagnosis rather than investigate information that might be consistent with another diagnosis.

18
Q

Decision making

A

assessing and choosing among
several alternatives
no clear-cut rules
no “correct” decision
we often rely on heuristics

19
Q

Kahneman and Tversky

A

proposed that a small number of heuristics guide human decision making
The same strategies that normally guide us toward the correct decision may sometimes lead us astray.

20
Q

small-sample fallacy

A

We assume a small small will be representative of the population from which it was selected

21
Q

Representative heuristic

A

We judge that a sample is likely if it is similar to the population form which this sample was selected for

22
Q

Base rate

A

How often an item occurs in the population

23
Q

Base for fallacy

A

Emphasizing the representativeness and understanding of-emphasizing important information about base rates

24
Q

Base Rate and Representativeness
Kahneman and Tversky (1973)

A

Demonstrated that people rely on representativeness when asked to judge category membership.
even when provided with base-rate information, people tend to ignore it
stereotypes

25
Q

Conjunction rule

A

The probability of the conjunction of two events cannot be larger than the probability of either of its constituents

26
Q

Conjunction fallacy

A

When people judge the probability of the conjunction of the two events to be greater than the probability of a constituent event

27
Q

The Conjunction Fallacy and Representativeness

A

People tend to judge using representativeness instead of statistical probability.
Students with high SAT scores are actually more likely than other students to demonstrate the conjunction fallacy

28
Q

Summary of Representativeness Heuristic

A

We use the representativeness heuristic when we make decisions based on whether a sample looks similar in important characteristics to the population from which it is selected.

The representativeness heuristic is so appealing that we tend to ignore other important characteristics that we should consider, such as sample size and base rate.

We also fail to realize that the probability of two events occurring together (e.g., bank teller and feminist) needs to be smaller than the probability of just one of those events (e.g., bank teller).

29
Q

Availability Heuristic

A

We tend to estimate frequency or probably in terms of how easy it is to think of relevant examples