Thinking, Language, and Intelligence
Cognition
•
Cognition
– The mental activities involved in acquiring,
retaining, and using knowledge
• Our mental ability to get, keep, and use the information
we have.
The Building Blocks of Thought
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Thinking
– Thinking involves manipulating mental images of
information in order to draw inferences and conclusions
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Mental Images
– A mental represenation of objects or events that
The Building Blocks of Thought
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Concepts
– Mental categories we form to group objects,
events, or situations that share similar feature or characteristics.
• Provides mental shortcuts that reduce the amount of
Concepts
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Prototype
– The “best”, or most typical, instance of a particular
concept.
•
Exemplars
– Individual instances of a concept or category, held
in memory.
What is Problem Solving
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Problem Solving – Thinking and behavior
Problem Solving Strategies
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Trial and Error
– Basic process of elimination
– Trying a variety of solutions until reaching the
Problem Solving Strategies
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Algorithms
– A procedure that when followed step by step,
always produces the correct solution. • For example: Mathematical formulas
Problem Solving Strategies
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Heuristics
– “Rules of thumb” or mental shortcuts
– Different from algorithms in that heuristics do not
always work.
• Allow us to simplify problems.
– Breaking a problem into subgoals is a common
Obstacles to Solving Problems
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Functional Fixedness – When we view objects
as functioning only in the usual or customary
way.
•
Mental Set – The tendency to persist in solving
Decision-Making Strategies
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The Single-Feature Model
– When there are lots of alternatives, we simplify
Decision-Making
Strategies
• The Additive Model
– Better for more complex decisions than the single-feature
model.
– 1. Create a list of factors related to the decision that are
important to you.
– 2. Rate these factors among the choices using an arbitrary
scale (-5 to +5).
– 3. If a particular factor or choice has strong drawbacks or
disadvantages then give it the minimum rating (-5) and vice-versa.
Decision-Making Strategies
•
The Elimination by Aspects Model
– Evaluate all the alternatives one characteristic at a
time, typically starting with the feature you consider the most important.
– If a particular alternative fails to meet that criterion,
you scratch it off your list of possible choices, even if it possesses other desirable attributes.
– Continue to narrow the choices down until there is
Decisions Involving Uncertainty
•
The Availability Heuristic
– Estimate the likelihood of an event on the basis of
how readily available other instances of the event are in our memory.
• When instances of an event are easily recalled, we tend
to consider the event as being more likely to occur.
Decisions Involving Uncertainty
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The Representativeness Heuristic
– Estimate an event’s likelihood by comparing how
similar it is to what our “prototype” of the event is.
• “Is this event representative of what I think the most
Intelligence
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What is intelligence?
– Global capacity to think rationally, act
purposefully, and deal effectively with the environment.
•
What purpose does measuring intelligence
Development of Intelligence Tests
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Alfred Binet (Early 1900s)
– Developed one of the first tests of intelligence
– Developed tests to measure the mental ability of
French students to identify the one’s that needed academic help.
Binet continued
•
Did not believe that intelligence could be
quantified into a single number.
– Believed there were too many facets to consider.
•
Believed that a person’s score could change
Development of Intelligence Tests
•
Lewis Terman (1916)
– Translated Binet’s French test to English and
created the Stanford-Binet Intelligence Scale.
– Diverged from Binet’s views and assigned people a
Terman Continued
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IQ was determined by dividing the individual’s
mental age by the chronological age and
multiplying by 100.
– (M/C age x 100)
• 10 year old with 13 y/o mental age would have an IQ
Development of Intelligence Tests
•
David Wechsler
– Developed the Wechsler intelligence tests.
• Originally called the Wechsler Adult Intelligence
Scale(WAIS).
– Two advantages over other tests:
• 1. Specifically designed for adults, rather than children. • 2. Provided scores on 11 subtests measuring different
FULL SCALE IQ (g)
FULL SCALE IQ (g)
Sources of intelligence
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Looking at individual differences
– Biological lens•
Stability
– Before 3-4 years—inaccurate
– Between 4-7 years—more accurate and predict
future performance
•
Measures/concepts
– Longitudinal studies – Flynn effect•
Seattle Longitudinal Study
– N = 5,000 adults, 25-88 years old – Test in 7-year cycles
– Results
• 25-60 No uniform decline in general intellectual ability
• 60+ Abilities decline, but losses are not great
•
Flynn effect
– Performance is rising steadily over time – Are we getting smarter?
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The Nature (Genetic) Argument
– Twin studies– Heritability
• Heritability of IQ is believed to be approximately 50%.
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The Nurture (Environmental) Argument
– Economic differences– Test bias
• Are IQ tests biased or unfair toward cultural minorities?
– Stereotype threat
• The fear that you will be evaluated in terms of a
negative stereotype about a group to which you belong actually causes you to engage in behaviors that would lead to your feared evaluation.