Exam 4 LAST EXAM BITCHES Flashcards

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1
Q

Top-DOwn Processing effects on perception

A

◦ Perception is a combination of bottom-up and
top-down processing
◦ Bottom-up
Raw sensory data
◦ Top-down
Expectations learned through previous experience
You don’t experience the world as it is,
you only experience your interpretation

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2
Q

Examples of TOp-Down processing

A
  • strawberries are red . . . right?
  • Gesalt Principles
  • Attentional Blindness/Change Blindness
  • Bugs vs. Daffy
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3
Q

Priming effects on perception

A

Priming effects
◦ Influences perception
◦ Primes activate different perceptual heuristics
Automatic perceptual “shortcuts”
◦ The same thing perceived differently due to
context
◦ Same thing perceived as two entirely different
categories

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4
Q

Examples of priming effects

A

Perception wasn’t “duck” vs. “sort of a duck”
Duck vs. Rabbit
Fish vs. Girl

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5
Q

Social perceptions examples

A
◦ Self-Concepts
 Self-serving biases
 Positive Illusions
◦ Stereotypes
◦ Eyewitness Identifications
◦ Illusory Correlations
◦ Self-Fulfilling Prophecies
◦ Attribution Errors
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6
Q

The Rashomon Effect

A

◦ Contradictory descriptions of the same event by
different people
(one murder, four stories)

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7
Q

WHy are eyewitness testimonies unreliable?

A

Errors due to attention and emotional arousal
◦ Memory requires attention and encoding
◦ Can’t remember what you never paid attention to
Fear and stress can impact attention
◦ Attention narrows (“tunnel vision” )
◦ Attention fixates (gets stuck on one thing)
◦ But, attention may fixate on small details that aren’t
helpful for making a correct identification
- WEAPON FOCUS
- FAMILIARITY ERRORS
- WELLS AND BRADFIELD

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8
Q

The Kuleshov Effect

A

Principle of Film Editing
◦ Meaning conveyed by juxtaposed images
◦ The same scene or image interpreted differently
due to context
A man’s neutral expression interpreted as…
Sadness (paired with a woman in a coffin)
Hunger (paired with a bowl of soup)
Lust (paired with a provocative image of a woman)
◦ The film viewer “fills in the blanks” and makes an
interpretation consistent with the context
- KEY AND PEELE SKIT

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9
Q

Illusory Correlation

A

◦ An illusory correlation is a perceived relationship that
does not, in fact, exist
- superstitions, stereotypes, full moon

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10
Q

Positive Illusions and Mental Health

A

• Positive Illusions and Mental Health
• Most assume that proper mental health is marked by
realistic views of the world
• Research suggests that most well-adjusted people may
have slightly unrealistic views about themselves

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11
Q

Pros and Cons of Positive Illusions

A

• Benefits of positive illusions
• Elevate positive mood and reduce negative mood
• Foster social bonds by making people more outgoing
• Promote pursuit and persistence at goals
• Costs of positive illusions
• Positive illusions may be detrimental if overestimation
of abilities leads to poor performance

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12
Q

Self and Positive Illusions

A

Unrealistically positive views of self
• The “everyone is above average” effect
• Believe positive traits are more true of self than
negative traits
• Believe positive traits are unique but negative traits are
common
Exaggerated perceptions of control
• Believe we have more control over events than we do
• Personally would rather throw the dice to win a game.
Unrealistic optimism
• Believe positive events more likely to happen to self
than to other people

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13
Q

POsitive Illusions and ROmantic PArtners

A

Positive Illusions about romantic partners
improve relationship satisfaction
Idealization in romantic relationships
◦ People are more satisfied in relationships when
partners have positive illusions of them
◦ Happier in relationships when partners see us
more positively than we see ourselves
Best when obvious weaknesses are verified but when
subjective evaluations are more favorable
“Oh I know that it’s seems like he’s being rude, he’s just very
focused on his thoughts”

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14
Q

ENtity Theory

A

Belief that talent is something you are
“born with”
Either have it or don’t

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15
Q

INcremental Theory

A

Belief that any ability can be improved with
hard work
Talent can be achieved through effort

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16
Q

Pygmalion in the Classroom

A

◦ Rosenthal & Jacobsen (1968)
Some students randomly labeled as “bloomers” that
would start to perform better throughout the year
Students in the two groups start off equally, but by the
end of the year the “late bloomers” did much better
They “blossomed”
The teacher’s expectations ended up changing how the
students performed

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17
Q

Confirmation Bias

A

◦ The tendency to pay attention to and
interpret information in ways that confirm
your original expectations
◦ Confirmation bias allows people to believe
what they want to believe, even if their
beliefs seem to contradict evidence

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18
Q

Postive Testing

A

Only asking questions in way that to would confirm an
expectation.
Not asking questions that could disconfirm expectations
- dispute over child custody

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19
Q

WHy do people believe strange things?

A

Top-down effects on perception
◦ Expectations influence what we perceive
◦ Brain “fills in the blanks”
◦ Can perceive things that aren’t really there
Evolutionary influences on perception
◦ Brain wired to detect certain types of stimuli
over others
Faces, bugs, spiders, snakes
Notice how easy it is to hallucinate a bug when
you just found one crawling on you?

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20
Q

Optimal Distinctiveness

A

◦ People want to feel unique but also accepted
◦ Extreme beliefs may help fulfill both social needs
◦ Feel special and unique
◦ May bring acceptance into a larger social network
Get support from other believers
◦ Positive feelings about self get reinforced

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21
Q

Intelligence and Bizarre Beliefs

A

Illusory beliefs may be held by very
intelligent people
Sir Issac Newton
◦ Considered one of greatest scientists of all time
◦ Inventor of Calculus
◦ First theory of Gravity
◦ But… believed in alchemy and witchcraft
Sir Arthur Conan Doyle
◦ Writer of the Sherlock Holmes novels
◦ Believed in mystical creatures and was fooled by
the “Cottingley Fairies” hoax

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22
Q

POsitive Symptoms of Schizophrenia

A
◦ “Positive Symptoms” (excesses of behavior)
 Hallucinations
 Hearing voices
 Delusions
 Paranoia
Derailment
Inappropriate Emotions
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23
Q

Negative SYmptoms of Schizophrenia

A
◦ “Negative Symptoms” (deficits of behavior)
 Catatonia
 Apathy
 Flattened emotions
Avolition
Poverty of Speech
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24
Q

IQ Testing

A

Early IQ classifications
◦ IQ is standardized so the average score 100
◦ Original labels quite derogatory by today’s standards
Genius (IQ > 130)
Normal (IQ between 70 and 130)
Moron (IQ between 50 and 70)
◦ Also called “feeble minded”
◦ Considered capable of work requiring judgment
Imbecile (IQ between 25 -50)
◦ Only considered capable of manual labor
◦ May require supervision for some life skills
Idiot (IQ < 25)
◦ Unable to care for self

25
Q

G-factor

A

– general form of intelligence related to all abilities
G-factor is evidence for general intelligence
◦ IQ is correlated with the g-factor
◦ But, IQ scores don’t measure all forms of intelligence

26
Q

S-factor

A

– specific forms of intelligence related to specific abilities

27
Q

Savants

A

◦ Often diagnosed with Autism Spectrum Disorder (ASD)
◦ Often have low IQs
◦ But, exceptional ability in one area
◦ About 10% of people with ASDs may have savant abilities
Common Exceptional Abilities
◦ Music
◦ Visual Art
◦ Calendar calculations
Can tell you the day of the week for any date instantly
◦ Mathematics
◦ Spatial skills
Like knowing the exact layout of a maze with one experience

28
Q

Kim Peek

A

◦ Inspiration for the movie Rain Man
◦ Born autistic with very low IQ
◦ Impaired motor skills
Can’t walk well or button his shirt
◦ But, several extraordinary abilities
Calendar calculations
Can read two things at the same time
Right eye reads one page and his left eye reads the other page
Born without a corpus callosum connecting his brain hemispheres
Extreme memory ability
Remembers everything about the over 12,000 books he’s read
Remembers every piece of music he’s heard
Knows all the zip codes of every city in America
Likes being nicknamed “Kimputer”

29
Q

Autism Spectrum Disorder (ASD)

A

◦ Neurodevelopmental disorder
◦ Many variations
◦ Effects boys more than girls
◦ Estimated about 1 in 70 children have a form of ASD
Appears that rates of ASD are increasing
Unclear if ASD are actually increasing or are just being identified
more
◦ Early indicators of ASD
Delayed developmental “milestones”
Like walking and talking
Limited or delayed communication
Lack of eye contact
Behavioral and attentional fixations
Infant may seem unusually obsessed with certain objects or behavior

30
Q

Mentalistic

A

Ability to understand the thoughts and feelings of others

A “Theory of Mind”

31
Q

Mechanistic

A

Ability to understand the workings of objects and machines

A “Theory of Objects”

32
Q

Jebediah Buxton

A

◦ One of the first savants identified
◦ Born in 1707
◦ Couldn’t read or write
◦ But, had tremendous gift for math and numbers
Was obsessed with numbers
Would watch a show and count how many steps made by the
dancers or words spoken by the actors
◦ Tested by the Royal Society in 1754
Could mentally calculate numbers up to 39 digits
A number like this
965748392617283746574839201625364758675

33
Q

Gottfried’s Mind

A

◦ Born Switzerland in 1768
◦ Described as having a “weak constitution”
◦ Revealed a talent for drawing as a young child
◦ Was enrolled in an art school
◦ When seeing someone painting a picture of a cat
exclaimed “that’s not a cat!” and proved he could
draw an better one
◦ Most well-known for his portraits of animals, most
especially cats
Raphael of Cats

34
Q

Stephen Wiltshire

A
◦ Was mute as a child
 Wasn’t able to speak until age 5
◦ Discovered love of drawing
◦ Can draw panoramic images of entire cities from
memory after one viewing
35
Q

Daniel Tammet

A
◦ Given the nickname “Brain Man”
◦ Very high functioning autism
 Probably couldn’t tell he has an ASD
◦ Many extreme abilities
 Tremendous math abilities
 Speaks 11 languages fluently
 Learned Icelandic in 1 week after a challenge
 Most famous for being able mentally calculate and verbally recite
the number pi to 22,514 decimal places
 Has a rare form of Synesthesia
 Sees numbers as colors and shapes
◦ Savant abilities may have been caused by childhood
epilepsy
36
Q

Derek Paravincini

A

◦ Musical savant
◦ Born extremely premature
◦ Treatment to save his life damaged his brain
◦ Was left blind and several mentally impaired
Has mental capacity of a 4 year old child
◦ But, discovered tremendous musical ability at age 3
◦ Can precisely reproduce complicated pieces of music after only
hearing it once

37
Q

Orlando Serrell

A

◦ Wasn’t born an autistic savant
◦ Suffered a brain injury playing baseball
◦ After the injury could perform automatic
calendar calculations
◦ Still has normal intelligence
◦ Is currently being studied to get insight into
savant ability

38
Q

Savant for a Day

A

Research by Andrew Snyder
◦ Inspired to study savants after reading Oliver Sacks
◦ Uses TMS (transcranial magnetic stimulation) to unlock savant-like
abilities in normal people
◦ TMS can increase or decrease activity in specific brain areas
TMS used to temporarily give “savant-like” abilities
◦ TMS used to decrease activity of frontal lobes
◦ Enhanced performance of artistic and mathematical tasks
◦ Decreased frontal lobe activity seems to allow the brain to use
more “computing power”
◦ Ironic, because frontal lobes are typically the most associated with
intelligence
Executive functions

39
Q

Past attempts to find unique human abilities

A

Man the . . .

  • hunter
  • thinker
  • communicator
40
Q

Animal Problem SOlving with Insight

A

Sultan the Chimp
◦ Given a bunch of bananas hanging out of reach
◦ In room with boxes
◦ Sultan stacked boxes to get banana

41
Q

Factors that influence animal intelligence

A
  • brain to body size
  • sociality
  • foraging strategies
42
Q

CHaser the Dog

A

◦ A border collie that can identify a thousand different object by name
◦ Dog shows ability to use deductive logic
◦ Can use process of elimination

43
Q

WHich birds are smarteR?

A
Corvids are surprisingly intelligent
◦ Corvids are ravens, crows, and magpies
 Research shows corvids can…
◦ Create, manipulate, and use tools
◦ Can solve problems through reasoning
◦ Understand water displacement
◦ Can understand levers and pulleys
◦ Can learn by observing others
◦ Can recognize human faces
◦ Will spy on and attempt to deceive other birds
 This is a form of theory of mind
44
Q

Problem solving abilities in birds

A
Research shows corvids can…
◦ Create, manipulate, and use tools
◦ Can solve problems through reasoning
◦ Understand water displacement
◦ Can understand levers and pulleys
◦ Can learn by observing others
◦ Can recognize human faces
◦ Will spy on and attempt to deceive other birds
 This is a form of theory of mind
45
Q

Dogs vs. CHimpanzees

A

Dogs understand pointing
◦ A form of symbolic thought
◦ Understand information is being communicated to them
Dogs make eye contact
◦ Pay attention to human gaze
◦ Can understand “shared attention”
I look at the door and then the dog looks at the door
Example of evolution through artificial selection
◦ Dogs have been breed to interact with humans
◦ Dogs with the best “social skills” most likely to reproduce

46
Q

What humans do better than apes

A
  • Self conscious thoughts
  • Self concept
  • COnversational language
  • COmplex thought
  • Abstract reasoning
  • Executive Function
47
Q

Marshmallow Test

A

Humans have much better executive function
◦ We can resist our impulses
◦ But… it takes some practice to learn
Walter Mischel’s “marshmallow test”

48
Q

The Turing

A

◦ A computer would be judged to have true artificial
intelligence if a human being could not tell whether
he/she was talking to a computer or another human
being
Not actually a good test of artificial intelligence
◦ Turns out…it’s pretty easy to fool a human being
◦ Computers have passed the Turing test simply by
being programmed to have typos in their responses.

49
Q

Artificial Intelligence

A
◦ Would be capable of consciousness
◦ Computers could be self-aware
◦ Capable of learning on their own
◦ May behave according to their own will
◦ Would be unpredictable (like a human is)
50
Q

Virtual Intelligence

A

◦ Not truly conscious
◦ Computers would only act self-aware
◦ Behavior still strictly governed by a set of programs

51
Q

Digital vs. Analog

A

◦ Computer operate entirely digitally (0 or 1)
◦ Brains are a combination of digital and analog
Each neuron either fires or doesn’t (digital)
But, each neuron may receive a continuously varying number of inputs from other neurons (analog)

52
Q

Serial vs. PArallel

A

◦ Computers calculate one thing at a time (serial)
Switches back and forth between tasks to multi-task
◦ Brain process many things simultaneously (parallel)
Your body runs totally independent of your conscious mind, but it’s still your brain controlling it all

53
Q

Computable vs. Non-Computable

A

◦ Computers can only compute what’s computable
They need to follow a formula or algorithm
Can learn through trial and error, but not thru insight
◦ Brains solve problems not reducible to an algorithm
Brains have “Eureka!!” moments. Computers can’t

54
Q

Deterministic vs. Non-Deterministic

A

◦ Computer output determined by it’s programming
◦ Brains are non-deterministic
Same thing causes different responses at different times
Hard to explain human behavior as following a set of rules*
*debates about Free Will not included

55
Q

Emergence

A

◦ When new abilities are created by the
interaction of simpler units which themselves
don’t have the ability
Billions of neurons firing creates consciousness
Billions of chemical interactions create life
◦ Complex phenomena emerge from the
interaction of simple units
Emergent properties do not have a leader
or director (snowflake ,fish, flock, social insects)

56
Q

Artificial Neural Networks

A

◦ Attempt to create neuron-like networks
◦ Capable of learning
◦ The networks are not programmed, they
learn from experience

57
Q

Error Signal

A

◦ Network responds to stimulus
◦ Receives feedback
Response was correct
Or, response produced an error signal
◦ Network responds in a different way
◦ Receives feedback
◦ Compares error signal to previous error signals
◦ Network responds in a different way
◦ Each new attempt compared to previous attempt
◦ Goal is to minimize amount of error signal

58
Q

Teaching a Computer to Play MArio

A

Example of computer learning
◦ Computer plays Super Mario Bros..
◦ Tries random behaviors
◦ Gets positive feedback for earning points
◦ Gets error feedback every time Mario dies
◦ Learns from it’s mistakes
◦ With many, many attempts it learns how to play the game
Develops unusual strategies in comparison to human players