mem and cog exam 3 Flashcards

(79 cards)

1
Q

How did scholars’ views of human rationality change during the 20th century?

A

we started to see human thinking as less rational than we had previously thought and as being influenced by biases and heuristics.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Give an example of the influence of availability on decision making

A

After all of the plane crashes on the news recently, someone may choose to drive to florida instead since the memories of plane crashes are more available to them than car crashes and thus seem more likely to happen.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

How is “Harvard beats Yale, 29–29” an example of the anchoring heuristic?

A

Harvard was expected to lose and only in the last few seconds of the game tied with yale, which made them feel as if they had won when contrasted with their expectations.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

How do factors involved in gathering evidence contribute to irrationality

A

our memories could be biased, and we’re more likely to rely on anecdotal information than statistical information

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

How are the representativeness heuristic and confirmation or myside bias examples
of irrationality?

A

We might go off of characteristics that we think are representative of a certain quality, but this is usually misguided (clinicians are more likely to make diagnoses based on how similar the patient is to a prototypical one rather than using DSM criteria)

We might seek out evidence that supports our predetermined ideas. And we are likely to weigh this information as more valuable than information that goes against our beliefs

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

How might one overcome confirmation bias?

A

Taking the perspective of how the other side is thinking

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

What is the problem with the reasoning from the “law of small numbers”

A

you may only have a few examples of something and then generalize to everyone. (i’ve taken two psych classes and both of the professors sucked therefore the department must suck)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Give positive and negative examples of people’s use of base rates

A

a doctor might show more concern for an elderly person vs a young person with heart issues

a doctor may be more likely to show concern for a man rather than a woman in having heart disease because he believes it’s more common in men, even though the prevalence is equal between genders.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Does the conjunction fallacy affect only statistically na ̈ıve students?

A

(believing the probability of event A and event B representative of the person is more likely than just event A happening) no even if they understood probability they still experienced it

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

How does framing affect people’s tendency to avoid risk?

A

people tend to be risk-averse in positive frames and risk-seeking in negative frames

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

deduction

A

one assumes first that certain pieces of information (premises) are true and then seeks to determine what conclusions follow from those premises

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

types of deductive reasoning

A

syllogistic and conditional

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

syllogism

A

a set of sentences that serves as the basis for reasoning. first two are the premises and the third is the conclusion.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

conditional reasoning

A

If A (antecedent), then B (consequent)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

modus ponens (MP)

A

method of affirming the antecedent. Valid. •

If p then q.
• p is true.
• Therefore, q.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

modus tollens (MT)

A

method of negating or denying the consequent. Valid.

• If p then q. • q is false.
• p is false.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

are people more apt to accept MP or MT

A

MP

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
18
Q

What did the cigarette syllogism study show?

A

the valid premises, believable consequent & invalid premises, believable consequent both had twice as much acceptance (92%) as the valid premises, unbelievable consequent. demonstrates belief-bias effect.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
19
Q

belief bias effect

A

when an invalid conclusion in a syllogism is supported by our beliefs, we are more likely to believe it is valid. belief bias influences judgements of invalid arguments more than valid ones

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
20
Q

content effects

A

in syllogistic reasoning, belief bias makes people more likely to accept a conclusion that supports their pre-existing beliefs even when it does not follow from the premises

in conditional reasoning, determining the validity or invalidity of a conditional statement can be dramatically altered by the content of in which the problem is presented

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
21
Q

formal rules theory

A

assumes that each of us possess a mental logic (internal set of abstract rules and a set of processes for using them)

  • If the formal rules theory is correct then people should be
    equally good on tasks with equivalent logical structure.
  • Content effect: People are not equally good on such tasks.
  • Therefore, the formal rules theory is not correct.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
22
Q

what does deductive validity depend on?

A

only the template of the argument (syntactics), NOT the specific content (semantics)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
23
Q

memory cuing theory

A

Hypothesis: Each person has a large collection
of specific scenarios stored in memory.
* This theory has the opposite problem to the
formal rules theory. The scenarios are too
specific and cannot easily account for the
human ability to reason about situations that
are not familiar to them.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
24
Q

pragmatic reasoning schemas

A

We use pragmatic reasoning schemas instead of
episodic memory or formal rules of logic, for some
classes of learned situations:
* Schemas for permission, obligation, causality,

if you want to watch tv you have to clean first

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
25
Evidence for Pragmatic Reasoning Schemas
Abstract Wason four-card selection task is harder than “concrete” selection task because abstract form does not fit any pragmatic reasoning schema * Training examples from familiar, concrete schemas improved abstract selection task performance more than training in abstract, formal logic
26
When is an argument good? inductive vs deductive
* An argument is deductively valid if and only if it is impossible that its conclusion is false while its premises are true. * An argument is inductively strong if and only if it is improbable that its conclusion is false while its premises are true. The degree of inductive strength depends on how improbable it is that the conclusion is false while the premises are true
27
relative frequency
To represent a probability of A/B, draw the reference class as a collection of B squares. * Then single out A out of them.
28
conditional probability
If a certain statement, p, is known to be true, this may affect the probability of another statement, q. * We write P(q|p) and read “probability of q given p”. * Example: P(star | red) denotes the probability of a star given the underlying square is red
29
P(q|p) =
P(q&p) / P(p)
30
base rate neglect phenomenon
a cognitive bias where individuals tend to ignore or underestimate statistical information (base rates) in favor of specific, often vivid, case-specific information when making judgments or decisions Base rate neglect tends to exacerbate the tendency to confuse P(q|p) and P(p|q).
31
Stanovich vs Gigerenzer views on human irrationality
Stanovich: Why are we irrational? * Random errors * Lack of cognitive capacity * Lack of domain-specific knowledge * Heuristics and biases are cognitive illusions * People can be trained to be more rational * The glass is half empty Gigerenzer: Human reasoning doesn’t have to be optimal, it just have to be “good enough” * Heuristics and biases are adaptive * Fast and frugal heuristics: simple strategies sometimes can make decisions as well as complex statistical models * The glass is half full
32
Dysrationalia
Inability to think rationally despite possessing adequate intelligence * Rational thinking not entirely measured by I.Q. tests (Stanovich, 1993, 2009, 2000: See Table 11.7!) * Failures in cognitive processing (cognitive miser) and content (knowledge of probability, logic, and scientific inference)
33
bounded rationality
Decision making is constrained by limited information, cognitive ability, and time * Satisficing (satisfy + suffice): pick a strategy that meets our standards for an adequate (not optimal) solution
34
definition of a problem
* Present (or initial) state – not satisfactory * Goal state – more satisfactory * Operators (or moves) – change one state into a different state * Constraints – restrictions, rules, budgets... * Solution – a sequence of valid moves from the initial state to the goal
35
well vs ill informed problems
* Well-defined problem: the initial state, goal state, possible operators, and constraints are all known: * Example: Chess board * Ill-defined problem: one or more components are not specified at the onset. Part of the problem is to figure out the missing elements: * Example: Mission to Mars
36
weak--strong continuum of problem solving
* Weak (domain-general) methods: * Apply to broad classes of problems. E.g., search * Because of their generality, weak methods do not benefit from regularities specific to a given domain. * Strong (domain-specific) methods: * Incorporate expertise relevant to a circumscribed class of problems within a given domain, e.g. chess. * Pattern recognition, intuition, role of practice... * Continuum – the more domain-specific knowledge, the stronger the method
37
algorithms and heuristics
The world “algorithm” is used in two senses. * Algorithm 1 = any information-processing procedure. Includes algorithms 2 and heuristics. * Algorithm 2 = an algorithm 1 that is guaranteed to produce the correct solution to a problem of a given class. Example: last lecture’s “recipe” for calculating P(q|p) using frequency trees. * Heuristic = a rule of thumb. Still an algorithm 1, but does not guarantee a solution in all cases. It merely facilitates the solution is some cases
38
what is the duplex mind?
the human mind has two systems (new version of freud unconscious vs conscious essentially): the automatic system works mainly outside of consciousness, the deliberate system is conscious.
39
system 1 vs 2
1: automatic, fast, emotional, unconscious, heuristic practices 2: slow, effortful, logical, conscious, analytical processes * We use System 1 most of the time. * System 2 can sometimes override System 1, provided the person has the knowledge and the opportunity to deploy it
40
what is intuition?
knowledge-based recognition that is inaccessible to introspection. a label for a process, not an explanation of it.
41
analogy
a mapping of knowledge from one domain (the base) into another (the target), which conveys that a system of relations that holds among the base objects also holds among the target objects. Thus, an analogy is a way of focusing on relational commonalities independently of the objects in which those relations are embedded.
42
rutherford analogy
Our knowledge of the Solar system provided a framework for thinking about the atom
43
systematicity principle
A predicate that belongs to a mappable system of mutually interconnecting relationships is more likely to be imported into the target than is an isolated predicate. * Relations, particularly higher-order ones (e.g., CAUSE), are important. * Objects (and their attributes) are less important
44
shema abstraction
A schema represents a system of relations but abstracts away from the particular objects. Analogy is an important mechanism for schema abstraction.
45
stages of analogy making
Encoding (perception, representation building) of the target problem * Retrieval (or access)of an appropriate analog (or base) from LTM * Mapping the base onto the target to find corresponding elements * Transfer of knowledge from base to target * Evaluation of the imported knowledge within the target framework * Learning / Generalizing, e.g., schema induction
46
three types of mathematical knowledge
1. Memorized arithmetical facts * 5+2=7 (a+b) 2 = a 2 + 2ab + b 2 2. Procedural knowledge about how to carry out mathematical operations * Multi-digit multiplication: 43 x 56 3. Conceptual knowledge about mathematical laws and operations * 8 x 3 = 8 + 8 + 8
47
confluence model of creativity
Creative production is the result of the confluence (or coming together) of multiple factors, including: * Cognitive processes * Personality characteristics * Wide range of interests * Family and other social factors * Ex: The Darwinian model of creativity
48
personal vs historical creativity
* Personal (P-) creativity: the idea or product is new for the person, but it might or might not be new for society. * Historical (H-) creativity: the product is new for society (i.e., everyone). * Personal creativity is the source (or a source?) of historical creativity
49
creative thinking
* Creative thinking occurs when a person intentionally produces something that is novel to them.
50
Where did the greeks think creativity came from?
the muses
51
problem restructuring as a gestalt switch
Insight is similar to Gestalt switch in perception. * It requires a new conceptualization of the entire problem situation. * Often sudden. Aha!
52
nine-dot problem
connect all w/o lifting pencil, insight problem
53
The candle problem
attach candle to wall only using box, tacks, and matches. insight to use box to put it up
54
Compound-Remote-Associates (CRA) Problems
For each set of words, find one other word that, when paired with each individual word, makes a common phrase (or a common word) in English: * high – house – district * pie – luck – belly * pine – crab – sauce
55
theories of insight
* Representational change * Special process (Aha!) * Business as usual
56
Representational Change Theory of Insight
* “Insight ... is the act of breaking out of an impasse.” (Ohlsson, 1992, p.4) * “Switch When Stuck” heuristic * (Bottom-up) Restructuring of the problem: * Elaboration of the problem * Re-encoding of the problem * Relaxing goal constraints
57
Evidence Supporting the Special-Process View
* Aha! experience in the lab: * Metcalfe & Weibe’s “warmth” ratings * Dissociable cognitive processes in insight vs. analytic problems: * Working memory load is more disruptive to analytic than insight problem solving. * Think aloud: verbal overshadowing of insight
58
Insight as Business-As-Usual
Insight might depend on knowledge, rather than on the rejection of (unhelpful) knowledge. * Insight can be brought about by ordinary cognitive processes, rather than some special insight process triggered by an impasse. * The fact that a problem is solved in a sudden Aha! does not mean that no progress has been made before the Aha! * Top-down (rather than bottom-up) restructuring
59
Practice Improves Performance on the Nine-Dot Problem
Hint: “Draw lines that go outside of the box” * The hint was not very effective, contrary to the Gestalt view. * Practice on similar problems was much more effective.
60
Insight in Apes Depends on Familiarity with the Object
Köhler’s (1925) apes used the stick as a rake to reach a distantly placed banana. * However, Birch’s (1945) animals had no exposure to sticks before seeing the problem. Only 1 of 4 apes attempted to use the stick to rake the fruit. * After several days of free play with the sticks, the problem was presented again, and now all animals quickly solved it.
61
Evidence Supporting the Business-as-Usual View
* Insight requires some prior knowledge (e.g., Köhler’s apes; Birch, 1975) * Ordinary cognitive processes (recognition) can lead to insight. No impasse is needed to trigger a special insight process (Perkins, 1981) * The fact that a problem is solved in a sudden Aha! does not imply that no progress has been made before the Aha! * Verbal protocols on the candle problem: evidence for knowledge-based (top-down) rather than look-and-see (bottom-up) restructuring (Fleck & Weisberg, 2004).
62
what model did watson and crick use for their model of DNA?
Linus Pauling's helical model of alpha-keratin
63
10+ rule in creativity
* 10+ years of commitment to a discipline are required for world-class achievement. * Historical studies (Hayes, 1989; etc.): * 76 composers – 500 masterworks * 131 painters * Scientists (Raskin, 1936) * Mathematicians (Gustin, 1985) * Physicians (Patel & Groen, 1991)
64
It is necessary both to specialize and to engage in the activity full time.
* The 10 Year Rule – It takes at least 10 years of intensive, deliberate practice to become world-level expert in anything * The 60 Hours-per-Week Rule
65
* Subjects: Students in music education courses. * A sequence of performance examinations * Two groups: higher- and lower-achievers Hypothesis: The higher achievers are more talented and thus would require less practice
* Results did not support the hypothesis: * Same amount of practice was needed to progress from one level to the next level for both groups. * The higher achievers worked more intensely.
66
how many positions in Go?
Over 10^170 legal positions.
67
BACON
“Discovers” Kepler’s Third Law of Planetary Motion * Three domain-general (weak) heuristics: * If the values of a term are constant, then assume the term always has that value. * If two terms increase together, consider their ratio. * If one term increases while another decreases, consider their product.
68
AARON
computer artist * Developed by Harold Cohen * Generativity
69
EMI: Experiments in Musical Intelligence
* Developed by David Cope * Can learn a musical style from examples of a given composer’s music (e.g., J. S. Bach). * Then can compose new pieces in this style. * Three principles: * Deconstruction (analyze and separate into parts) * Signatures (commonality – retain style) * Compatibility (recombine into new works)
70
niche-picking hypothesis
Creative people who have bipolar or other disorders may feel most at home in the arts (poetry, music, literature; Ludwig, 1995)
71
Robert Schumman
composed most while manic & least while depressed, but they were the same quality
72
wallas four stages to a creative leap
* Preparation: Conscious work on the problem, activating ideas that will be used later by the unconscious. * Incubation: The problem is being worked on at an unconscious level. * Illumination: Sudden Aha! experience. * Verification: conscious check that the illumination is correct
73
business as usual accounts of incubation -study example
* Forgetting of unhelpful knowledge elements. Deactivation of unhelpful solution strategies. “Clear the board.” * Serendipity – come across a hint from the environment. The hint can be effective even if it is not consciously noticed. Context effects incubation time after learning incorrect/misleading cues allowed participants to forget the incorrect cues and solve the problem
74
two-strings problem
cognitive test of functional fixedness, need to figure out how to tie two ropes together that are too far apart to reach w/ arms. Seeing the rope swing can trigger an aha moment and unlock the solution
75
two disciplines of psychology
* Experimental psychology – focus on the central tendency, the common core that is presumed to be shared by all people: * This is what we have been practicing throughout our course: “the cognitive system” * Comparative psychology – focus on individual differences (variance): * Psychometrics: tests that measure people on various dimensions, e.g., creative potential
76
divergent thinking
* Fluency of thought: ability to produce a lot of ideas in a short period of time: * “List all the white edible things that you can.” * Flexibility: ability to think “out of the box”: * “List all the uses you can think of for a brick.” * Originality: ability to produce ideas that are not produced by many other people.
77
are creativity tests valid?
* Validity of a test: Whether it does in fact measure what it is supposed to measure. * Reliability of a test: Whether the scores are replicable and internally consistent. * Divergent-thinking tests have been used for over 50 years, and yet questions remain whether people who score highly on these tests also show above-average real-world creative accomplishments
78
Affirming the Consequent
• If p then q. • q is true. • Therefore, p. Invalid
79
Denying the Antecedent
If p then q. • p is false. • q is false. Invalid