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family resemblance
members of a category resemble one another
feature-based
characteristic features define categories
prototype theory
identify a “best example” - average of all known examples
draw inferences from said prototype
graded membership
some members are better than others
this depends on the resemblance to the prototype
often partial, not complete
sentence verification task
is this sentence true or false?
ex:
people live in houses.
tacos are sandwiches.
the ocean is soup
response time is slower for less prototypical items
ex: penguins are birds.
production task
free response
name as many examples as possible
ex: birds
more prototypical items named earlier + more often
rating tasks
on a scale of 1 to 7, how BLANK is this:
basic-level categorization
a “natural” level of organization - not specific or general
conversational and reasoning level
usually a single word; more complex = using a phrase
basic-level categories
some category members are privileged
privileged → these are the ones closest to the prototype, meaning they’re more likely to be named/identified faster when asked
some types of categories are also privileged
exemplars
conceptual knowledge is likely represented by prototypes
some category members are “better” than others
prototypical members are privileged
specific and concrete
prototypes are general and often abstract
exemplar-based reasoning
reasoning that draws on specific category members for inference
exemplars and prototypes
both have advantages
prototypes are economical and quick
exemplars are precise and informative
both can be modified by context
usage of both of these is individual-specific
categorizing via resemblance difficulties
for most concepts, definitions aren’t available
you can rely on a mix of prototypes and exemplars
typicality plays a large role in thinking
how much a particular item is representative of its kind
higher typicality = more privileged
typicality vs. categorization
judgement of category membership depends on judgement of typicality
rating task - how “even” or “odd” is this number?
category membership and typicality were independent
“deep” features matter more than current properties
“deep” features depend on essential properties, tuned to a category
natural vs. manmade differences
explanatory theories
more holistic approach
concepts are composed of “theories”
“theories” are:
less precise
less elaborate
provide a knowledge base
allows for incorporating new knowledge
inferences based on theories
categorizing is important
apply existing knowledge
incorporating new knowledge
inferences are guided by typicality
inferences are guided by broader sets of beliefs
different profiles/different concepts
people may think about different concepts in different ways
differing intrinsic beliefs
ex: natural vs. manmade objects (aka artifacts)
goal-driven categories
rational categories
event categories
various beliefs influence categorization
goal-driven categories
defined by purpose
relational categories
defined by relationship
ex: “rivalry” or “companion”
event categories
defined by events
ex: “dates” or “shopping trips”
proposition
smallest units of knowledge
distributed processing
in the propositional network model:
ideas are represented with local representations
information is encoded in a few identifiable nodes
connectionist networks rely on distributed representations
no one node represents content; content is not stored in one place
concepts are a pattern of simultaneous activity across many nodes
the same nodes will participate in other patterns, too
parallel distributed processing
PDP
system handling information where many steps happen at once
needed when information has distributed representation
strength of nodes in a network determines efficient activation
language
translation of ideas into communication
follows well-defined patterns
sentences
sequence of words following the rules of syntax
expresses an intended meaning by a speaker
composed of phrases, which are composed of words
morphemes
smallest language unit that carries meaning
two kinds:
content/free - carriers of meaning
function/bound - specify relations among words
phonemes
unit of a sound that distinguishes one word from another
ex: “beg” vs. “peg”
not speaker’s accent or emphasis when talking
voicing
production of speech
rapid opening and slowing of vocal folds
produces a buzzing sensation
manner of production
how airflow is obstructed to produce speech sound
place of articulation
where airflow is obstructed to produce speech sound
speech segmentation
“slicing” speech stream from words into phonemes
coarticulation
preceding/following sounds affect current sound production
not uttering one sound at a time
ex: “puh” = p + a
phonemic restoration effect
“fill in the gaps” of missing phonemes based on probability
categorical perception
speech sounds are heard as members of a category
between-category differences are easy to detect
ex: '[toh] vs. [pa]
within-category differences are difficult to detect
ex: [pa] vs. [ba]
sound
morphemes and words
sequence of phonemes
orthography
morphemes and words
sequence of letters
semantic representation
morphemes and words
what it means
phonological representation
morphemes and words
composition of phonemes
syntax
rules governing word combinations when forming phrases/sentences
meaningful =/= correct
phrase-structure rules
what elements must be within a phrase
what sequence those must be placed
prescriptive rules
how something is supposed to be; what’s proper
ex: ain’t vs. isn’t
descriptive rules
description of regularities in a pattern of observations
how phrase-structure rules actually work
parsing
divide input into appropriate elements (words into phrases)
meant to help identify syntax
garden-path sentences
temporary ambiguity within a sentence
understanding changes after the full sentence
extralinguistic context
physical and social setting of the encounter
“put the apple on the towel into the box”
prosody
speech intonation/pattern of pauses
sarcasm
pragmatics
knowledge of how language is normally used
Grice’s Maxims of Conversations
quantity
quality
relevance
manner
Broca’s Area
left frontal lobe area
speech production
damage causes nonfluent aphasia
unable to speak/write
Wernicke’s Area
temporal lobe, parietal adjacent
speech perception/understanding
damage causes fluent aphasia
speech is meaningless
cannot understand speech
overregulation errors
related to the process of language learning
principles that are too broad
young children make these mistakes when learning grammatical rules
ex: go → goed; instead of went
semantic bootstrapping
related to the process of language learning
figuring out syntax from semantic relationships
linguistic relativity
“Whorfian Hypothesis”
your language forces certain modes of though
dues to structure/vocabulary
evidence:
color perception
directions (absolute vs. relative)
events (active vs passive.)
alternative hypothesis:
rather than a direct relationship, language guides attention to shape thinking
experimental follow-up
ask participants to attend to relevant information
language effects go away w/ instruction
chronometric studies
“time-measuring”
studies that measure how much time a task takes
image-scanning procedures
step 1: memorize the map
step 2: form an image of the island; point their “mind’s eye” at a specific landmark
step 3: imagine a black speck moving from Landmark A to Landmark B
step 4: press a button when the speck “arrived” at Landmark B
people scan at a constant rate
response times directly proportional to distance, even when “zooming in” or “zooming out” is required
mental rotation task
determines the difference between shape pairs
rotates? mirrored? completely different?
response times are influenced by how different the shape pairs are
this happens in both 2D and 3D
more brain activity needed for greater rotation difference
activation is in the visual cortex
descriptions
things that focus on the unique/prominent features
depictions
things that focus on the size/position of features; you’re looking at the “bigger picture” here
demand character
cues within an experiment that signal how a participant is “supposed” to respond
imagery is not a simulation; it’s not being caused by this
aphantasia
lacking the ability for visualization
eidetic imagery
a person can retain long-lasting and detail visual images that can be scrutinized as if they were physically present
“photographic memory”
percepts
internal representations of the world from perceptions; organized depictions
they’re similar to pictures, but distinct
show what a stimulus looks like directly
organized depictions → unambiguous compared to literal pictures
image files
the “recipe” or set of instructions for constructing an active image
verbal label
represents memorization of a description, not the image itself
this is what’s most relevant to language
this would make storage simpler
dual coding
information has both the word and the picture
schematic knowledge
factual information about experience, location, etc. that gives you an expectation on what you’ll see
this is what visual memory is heavily influenced by
boundary extension
tendency to remember pictures as being less “zoomed in” than actuality
binocular rivalry
when input to one eye cannot be integrated with input in the other eye
one is competing with the other
individuals tend to be aware of only one eye’s input at a time
visualization influences this pattern/relationship
neglect
people fail to orientate, report, or respond to stimuli located in their visual field
Segal/Fusella
small findings, but consistent
forming visual images interferes with seeing
forming auditory images interferes with hearing
reduction in performance and an increase in false errors when there was this contrast in methods
Farah
further study of Segal/Fusella
perception and image being related to one another helps with processing the information faster
binocular rivalry
cui
participants self-rated how vivid their imagery was
during fMRI scan, participants visualized a specific scene (someone climbing up stairs)
high self-reported vividness corresponds with higher activation in the visual cortex
Francis Galton
collected self-report data through introspection
people varied widely, even if it was the same stimulus they were seeing
some highly vivid, some no imagery at all
“visualizers” and “non-visualizers”
“translation step” → significantly different enough for a difference in what they were reporting
possibly everyone has the same image, but described it differently
generativity
the capacity to create endless combinations of fundamental units
concepts
mental representations of categories or ideas
typicality
degree to which an item is representative of a category (high or low prototypicality)
this doesn’t equal categorization
typicality effect
ability to judge highly prototypical objects more rapidly
categorization
process of grouping items in categories based on shared characteristics
collins/quillian model
hierarchical structure linking concepts through nodes
conceptual knowledge
how much time needed to confirm semantic facts
data incomplete
resemblance effect is missing
association links and nodes
general information linked to higher-level concepts
ex: birds + feathers, not robins + feathers
language learning process
stages and errors in children’s language acquisition
visual imagery
relies on vision areas
damage to vision areas won’t interfere with spatial ability, and vice versa
color, shape, and spatial positions would need this type of imagery
scanning tasks could use either
spatial imagery
complex navigation needs this type of imagery
scanning tasks could use either