Unit 8 Pt 2: Thinking And Language Flashcards

1
Q

Convergent thinking

A

Type of thinking that is directed towards a single solution

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2
Q

Convergent thinking example

A

2+4

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3
Q

Divergent thinking

A

Type of thinking where there are many alternatives, ideas or solutions

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4
Q

Divergent thinking example

A

How humans reduce climate change?

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5
Q

Matacognition

A

Thinking about thinking

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6
Q

Metacognition example

A

Choosing between preexisting strategies to make decisions

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7
Q

Cognition

A

Mental activities associated with processing, interpreting, understanding, and communicating information

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8
Q

Cognitive psychology studies

A

Concept formation
Problem solving
Decision making
Judgement formation

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9
Q

For classification/efficiency purposes humans create

A

Concepts

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10
Q

Concepts

A

Mental grouping of similar objects, events, ideas, or people

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11
Q

Concepts are often organized into

A

Hierarchies

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12
Q

Types of concepts

A

Superordinate concept
Basic concepts
Subordinate concepts

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13
Q

Superordinate concept is

A

Most broad

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14
Q

Superordinate concept example

A

Food (broad)

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15
Q

Basic concepts is

A

Specific in between

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16
Q

Basic concepts example

A

Bread (specific in between)

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17
Q

Subordinate concepts is

A

The most specific

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18
Q

Subordinate concepts

A

Rye (type of grain- most specific)

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19
Q

Humans usually form concepts by creating a

A

Prototype

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20
Q

Prototype

A

Mental image or best example fo a category

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21
Q

A prototype allows us to incorporate items

A

Easily

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22
Q

An item’s failure to match prototype leads to

A

Trouble classifying it

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23
Q

An item’s failure to match prototype leads to trouble classifying it; like

A

Is a platypus a mammal or not?

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24
Q

Methods of problem solving: trial and error

A

Guess and check

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25
Methods of problem solving: algorithm
Methodical, logical pattern or procedure that guarantees solving of a particular problem
26
Algorithm looks at all possible combination or
Has a SPECIFIC FORMULA to solve the problem
27
Maths falls into what Method of problem solving?
Algorithm
28
Methods of problem solving: heuristics in simple words
Mental shortcut
29
Methods of problem solving: heuristics
Mental shortcut, rule of thumb strategies which allow us to solve problems efficiently and quickly
30
What problem solving strategies are most frequently used?
Heuristics
31
Heuristics example
What shortcuts do I use when deciding what shirt to buy? | Gender, size, prize, etc.
32
Disadvantage of algorithm
Usually slower
33
Advantage of heuristics
Faster
34
Algorithm vs heuristics: unscramble | SPLOYOCHYG
Algorithms go through all 907,208 combinations Heuristics would take out YY, etc
35
Methods of problem solving: insight
Sudden realization of how to solve a problem without a real strategy involved
36
Insight: light bulb goes off
When you get an idea
37
Insight example
The riddles we did in class (didn’t get it at first but then did)
38
Kohler’s Chimpanzee study illustrates
Insight
39
Obstacles to Problem solving: Confirmation bias
Human tendency to search for information that confirms your perceptions and ignores information that goes against your initial beliefs.
40
Obstacles to Problem solving: Fixation
Refers to the INABILITY to see a problem from a NEW PERSPECTIVE
41
Fixation example
How would you arrange the match sticks into lateral triangles?
42
Mental set
Tendency to approach a particular problem in a particular way
43
Mental set can lead to
Fixation
44
Metal set is impacted by
Previous experiment on how we perceive and approach problems
45
Mental set method
You usually use strategies that have been successful in the past at solving problems even though it may not be most efficient strategy for the new problem
46
Functional fixedness
Tendency to think of objects only in terms of their usual functions
47
Functional fixedness can be overcomed with
Divergent thinking
48
Functional fixedness example
Matchbox, bulletin board candle
49
Inability to see that a dime can be used as a tool like a screwdriver
Functional fixedness
50
Representative heuristic
MENTAL SHORTCUT for judging the likelihood of things in terms of how well they seen to match our prototypes
51
Representative heuristic may lead to
Us making incorrect assumptions
52
Representative heuristic example
New student, Kim might be assumed as a girl because of her name
53
Availability heuristic
MENTAL SHORTCUT where we judge the likelihood of an event based on how readily the event comes to mind
54
What type of things can effect the availability of things in our memory?
Media, people
55
Availability heuristic: how readily the event comes to mind
What pops into my head first?
56
Availability heuristic
Americans finding Middle East and Africa to be dangerous
57
Availability heuristic can lead us to irrationally
Fear things which are likely
58
People are tend to be more fearful of the dangers of airplane travel than of traveling in an automobile
Availability heuristic
59
People are tend to be more fearful of being raped by a stranger even though it is more likely they will be raped by someone they know
Availability heuristic
60
Barnum effect: Common psychological phenomenon whereby individuals give high accuracy ratings to descriptions of their personality that supposedly are tailored specifically to them that are in fact
Vague and general enough to a wide range of people
61
Barnum effect helps explain
People’s trust of: horoscopes, fortune telling, etc
62
Barnum effect example
Personality test and results to be very general but people believed it
63
Problem solving reasoning types
Deductive and inductive reasoning
64
Deductive reasoning
Process of logic where a conclusion is reached based on previously known premises
65
Socrates is a man All men are mortal Socrates is mortal
Deductive reasoning
66
Deductive reasoning logic
Logic goes from general to specific
67
Inductive reasoning
Type of logic where we make inferences based on evidence we have seen
68
Reasoning that is heuristic Iike
Inductive reasoning
69
Strong induction is more prone to
Error
70
Strong induction example
All observed crows are black. Therefore All crows are black
71
Weak induction example
I always hang pictures on nails Therefore All pictures hang from nails
72
Inductive reasoning logic
Logic goes from specific instances to make generalizations
73
Belief bias
The way pre-existing beliefs an distort logical reasoning; can make invalid conclusions seem valid, or valid conclusions seem invalid
74
Decisions impacted by context
Belief bias
75
Belief bias example
Democrats support free speech Dictators are not democrats Conclusion: dictators do Not support free speech
76
Framing
Way an issue is posed; how a question is worded
77
Framing example
Way to market ground beef: 25% fat OR 75% lean
78
Framing impact
Can impact our memory of events.. Loftus’s eyewitness experiments
79
Belief perseverance
Once we have decided that we believe something, we will tend to keep on believing it, even in the face of discomforting evidence
80
Belief perseverance
Ma’s stupid superstition
81
Language
Our spoken written, or gestured words and how they are combined to communicate
82
Smallest distinctive sound unit
Phonemes
83
Smallest unit that carries MEANING; may be a word or part of a word (like prefix)
Morphemes
84
How many morphemes is in the word “previewed”?
3
85
How many morphemes is in the word “blessings?”
3
86
A system of rules that enables us to communicate with and understand others
Grammar
87
Grammar includes
Semantics and syntax
88
Semantics
The study of meaning; rules for how we get MEANING from morphemes, words, and sentences in a given language
89
Way to remember semantics
Semantic encoding- meaning
90
Semantics determine
The deep structure of language
91
Syntax
The rules for combining words into grammatically sensible sentences in a given language.
92
Rule for the order to put words in
Syntax
93
Semantic examples
Adding -ed to the end of a word does what? Adding -s to a noun does what?
94
Syntax examples
In English adjectives come before noun but the opposite is true in Spanish. Pretty girl—> chica Bonita
95
Language summary: month 4
Babbles may speech sounds
96
Language summary: month 10
Babbling releases household language
97
Language summary: month 12
One word stage
98
Language summary: month 24
2 word, telegraphic speech
99
Language summary: month 24+
Language developed rapidly into complete sentences
100
Skinner’s theory of language
Behavioral
101
Chomsky’s theory of language
Biological
102
Skinner believes we learn language through
Radical behaviorism
103
Only tools for leaning language according to Skinner
Association Imitation Reinforcement
104
Association
Associate the sight of things with certain sounds of words
105
Imitation
Watch models speaking words and syntax and then we imitate them
106
Reinforcement
Given positive feedback and words of encouragement when spoken correctly
107
Chomsky believes our brains are
Hardwired with inborn universal grammar
108
According to Chomsky’s language is enabled by a
Language acquisition device
109
Language acquisition device
Humans are born with innate abilities to acquire language
110
Language acquisition device argued that
Although children do learn the language of their environment, the rate they acquire words and grammar without being taught is too astonishing to be explains purely from external learning principle
111
Support for Chomsky: children learn language too fast to
be fully explained just by the environment
112
Support for Chomsky: language is
Creative (we can create sentences we never heard from the environment)
113
Support for Chomsky: easier to learn language as a
Child than adult
114
Chomsky: children overgeneralize
(Overregulate) rules of language because of innate language acquisition device
115
Children overgeneralizing example
Say I “goed” instead of went The video of kids learning non sense words
116
Surface structure
Part of language that is purely phonetic (based on sound.. what we hear or read)
117
Deep structure
Theoretical part of language that represents the underlying MEANING which accounts for how different surface structures can have same deep structure
118
Deep structure and surface structure example: | Tom ate cake vs cake was eaten by Tom
Both parts are each surface structures Has one deep structure meaning
119
Experience modifies brain to learn
Native language
120
Language Relativity or Language Determinism
Benjamin Whorf’s idea that language determines the way we think
121
Language determinism/ relativity example
Hopi Indians had no past tense, it made it difficult to think about past events in their cultures. No “ed”
122
All expectancy/set concepts are related to how our
Perception, prior experiences, and schemas for phenomenon affect our thinking patterns and problem solving abilities
123
When explaining set concepts, they have to
Identify source of our preconception
124
2 types of set/expectancy
1) perceptual set | 2) mental set
125
Stereotyping, availability heuristic, representative heuristic, functional fixedness, conformation bias, hindsight bias, belief bias, framing, learned helplessness
Concepts that fall under category of mental set
126
Words in grammatically correct sentences
Syntax