how are sentences stored in lts? explicit tasks; episodic memory sachs (1967) study subjects hear a...
TRANSCRIPT
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How are sentences stored in LTS?
Explicit tasks; episodic memorySachs (1967)
STUDY subjects hear a story
“…A wealthy manufacturer,Matthew Boulton, sought outthe young inventor…”
TEST yes-no recognition
correct response(1) identical sentence yes(2) change form, but not no meaning (formal)(3) active/passive change no(4) semantic change no
ONLY (4) CHANGES MEANING
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Sachs Results
You forget the form of the sentence, butremember the meaning
FalseAlarms
immediate 80 syllableslater
160 syllableslater
| | |
10%
50%
Test is
FormChange
Active/Passive
SemanticChange
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In STS, you remember the actual words of thesentence.
In LTS, you remember the meaning, but forgetthe wording.
False Alarm Method
Try to get subjects to make a false alarm on a yes-no recognition test
It shows what part of the episode they remembered and what part they forgot
e.g., in Sachs (1967), false alarms to items withsame meaning, but different wording
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Sentences in LTS are stored as propositions
Ratcliff & McKoon (1978)
Study list of sentences...
“The geese crossed the horizon as the wind shuffledthe clouds.”
.
.
.
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1. CROSS (GEESE, HORIZON)
2. SHUFFLE (WIND, CLOUDS)
3. AS (1,2)
Predict horizon “closer” togeese than to wind
Item recognition priming test
“clouds” “yes”“chair” “no”
.
.
.“geese” OR “wind” “yes” PRIME“horizon” “yes” TARGET
RT to horizonwhen geese is prime when wind is prime
600 msec 630 msec
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Why?
Either because GEESE is closer to HORIZONin sentence (surface structure)
Or because GEESE and HORIZON are in the same proposition (propositional hypothesis)
STUDY“The kitten that the girl was carrying scratched the lawyer”
SCRATCH (KITTEN1, LAWYER1)CARRY (GIRL1, KITTEN1)
TEST (item recognition priming)
PRIME “kitten” “girl”
TARGET “lawyer” “lawyer”
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Integration Hypothesis
Propositions that contain the same conceptsconnect together in memory
Example:“A car hit a tree. The tree fell on a wire,
and the wire touched another car.”
HIT (CAR1, TREE1)FALL-ON (TREE1, WIRE1)TOUCH (WIRE1, CAR2)
Car Tree Wire
Concepts already in semantic memory
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Tree1Car1
Car2
Wire1
is isis
is
hit fall on
touch
Tree1Car1 Wire1
is isis
hit fall on
Tree1Car1
is is
hit
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Based on Bransford & Franks (1971)
Actually presented“The tree shaded the man who wassmoking a pipe”
Never presented (but consistent)“The tree in the front yard shadedthe man”
Never presented (inconsistent)“The tree broke the window”
frontyard
tall
tree
man pipesmoked
in
shad
ed
is
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Support for integration hypothesis
Bransford & Franks (1971)
McKoon & Ratcliff (1980)
“The lawyer gestured to a waiter.”
The waiter brought coffee.
The coffee stained the napkins.
The lawyer flourished documents.
The documents explained a contract.
The contract satisfied a client.
Propositions
GESTURE TO (LAWYER1, WAITER1)...etc.
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Document1
Client1
Contract1
Lawyer1
Waiter1
Coffee1
Napkins1
is is is
is
is is is
gesture
to
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NapkinsCoffee
Document Contract Client
Lawyer
Waiter
Nodes for Conceptsalready in semantic memory
is is is
is
is is is
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Document to Waiter = 2 linksDocument to Napkins = 4 links
Prediction“waiter” primes document more than “napkins” does
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Recognition Test
client
pen
lawyer
sofa
waiter OR napkins
documents
PRIME
TARGET
RT to say “yes” to documents
665 msec with waiter as prime
704 msec with napkins as prime
Supports integration hypothesis
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“Sally likes pets. She has a black cat.”
LIKES (SALLY, PETS)HAS (SALLY, CAT1)IS (CAT1, BLACK)
humans pets
mice
cats dogs bones
keepchase
like
areare
chase
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Sally
likesis
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Sally
cat1
likes
has
is
is
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Sally
cat1
black
likes
has
is
is
is
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Directly stated propositions and inferences
“Sally likes pets. She has a black cat.”
Directly-stated
SALLY HAS A CAT
Inferences
Propositions that follow from thedirectly-stated propositions or from other inferences
SALLY LIKES CATS
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(1) Logical inferences
necessarily follow from directly-stated propositions
e.g., Sally has a petSally’s cat is a mammal
(2) Pragmatic inferences
are probably true, but notnecessarily true
e.g., Sally takes good care ofher cat
Sally buys cat food
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Inferences in Real Life
Commercials
“Four out of five doctors recommendthe ingredients in Anacin”
Court Room
Harris, Teske & Ginns (1975)
Witness: “I went up to theburglar alarm”
Memory test“Did the witness say that they rang theburglar alarm?”
Nearly everyone said “yes” even when instructednot to draw inferences
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Turtles ExperimentBransford, Barclay & Franks (1972)
Group 1
“Three turtles rested beside a floating logand a fish swam beneath them.”
“Three turtles rested beside a floating logand a fish swam beneath it.”Result: very few false alarms
Group 2
“Three turtles rested on a floating logand a fish swam beneath them.”
“Three turtles rested on a floating logand a fish swam beneath it.”Result: many false alarms!
STUDY
TEST
STUDY
TEST
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Group 2 propositions
Conclusion:Memory contains inferences as well as
directly stated propositions
Inference added to memory:causes false alarms to testsentence with fish swimmingbeneath log
floatinglog
3turtles
fishsw
im ben
eath
rest on
swim
ben
eath
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Schemas
An organized set of propositions that describesthe general characteristics of some thing oractivity. (Stored in semantic memory)
Restaurant Schemaroles: CUSTOMER SERVER
(human) (human)
1. ENTER (CUSTOMER, RESTAURANT)2. SIT-AT (CUSTOMER, TABLE)3. GREET (SERVER, CUSTOMER)4. .
.
. BRING (BILL, TO CUSTOMER, BY SERVER) PAY (CUSTOMER, BILL) LEAVE (CUSTOMER, RESTAURANT)
Other examples:Quiz show, coins
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Restaurant Schema
Restaurant
Order
Menu
Table
Customer
Human
Waiter
1
5
4 3
2
6
is isenters
in
pick
s up sits at
takes
goes
to
looks for
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Schemas and Inferences
Schema Instantiation Inferences -propositions that link concepts in a text toconcepts in a schema
TEXT: “John went to the White Horse”“He sat down . . “
Restaurant SchemaJohn
WhiteHorse
restaurantcustomer
go to go to
is
is
Schema instantiation inferencesIS (JOHN, CUSTOMER)IS (WHITE-HORSE, RESTAURANT)
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How memory and comprehension fail when youdo not make schema instantiation inferences.
Bransford and Johnson (1972)
“Clothes washing” experiment
Recall(number of
“ideas”)
Ratedcomprehension(1-7 pt. scale)
No titlegiven
2.8
2.3
Title givenbefore reading
5.3
4.5
If you don’t know it’s about clothes washing, you can’t connect the text to your clothes washing schema.
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Bridging Inferences
Inferences that fill gaps in the text by usinginformation from a schema.
“John went to the White Horse.He ate and left.”
Inference JOHN PAID HIS BILL
Restaurant SchemaWhiteHorse
John
some-thing
restaurantcustomer
bill
ate
go to
leftgo to
pays
is
is
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McKoon & Keenan (1974)
Investigation of Memory for Bridging Inferences
Read“A camper carelessly threw a match.A great forest was destroyed.”
Destroyed
Match1
Camper1
Great
Forest1
threw
was
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BridgingInferencemade byconsulting“forest fire”schema
Fire1
burn
start
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True-false Test
Directly-statedA great forest was destroyed.
T or F ?
InferencesThe match started a fire.
T or F ?
RTto say“true”
immediatetest
20 minuteslater
inference
directly-st
ate
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Conclude:Inferencestoredin LTS
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‘Nancy’ Experiment
Owens, Bower & Black (1979)p.355 in text
Nancy arrived at the cocktail party. She
looked around the room to see who was there.
She went to talk with her professor. She felt she
had to talk to him but was nervous. … Nancy
went over to the refreshments. The hors
d’oeuvres were good but she wasn’t interested in
talking to the rest of the people. ….
Nancy woke up feeling sick again and
wondered if she was pregnant. How would she
tell the professor she was seeing?…
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Nancy Experiment
Recall Results
Directly-statedPropositions
Inferences(Nancy got sickat the party)
withtheme29.2
15.2
withouttheme20.2
3.7
•Schema improves memory for directly-statedproposition
•It also promotes recall of inferences which werenever mentioned
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Childhood Amnesia
Recall
birth now
serial position for your whole life
Repression? (Freud’s theory)
Language acquisition?
Difference between infant and adult schemas?
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Waldvogel (1948)n
um
ber
of
mem
orie
s
14 -
12 -
10 -
8 -
6 -
4 -
2 -
| | | | | | | | 0 1 2 3 4 5 6 7
Recall yourchildhoodmemories
femalesmales
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Sheingold & Tenney (1979)
Asked questions about birth of younger sibling.
Answers confirmed by parents.
accuracyscore
| | | | |1-2 3-4 5-6 7-8 9+
Age
No memories before 3
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Do animals show “childhood” amnesia
frogs yes
guinea pigs no
Rats yes
May depend on how “advanced” animal is at birth
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Stoloff & Spear (1976)
15-day old rats (still infants)36-day old rats (young, but not babies)
Traineduntilperfectin T-maze
correctturn
shock
Older rats forget what they knew as babies
training 1-daylater
21-dayslater
100%
chance
36-day olds
15-day olds
Tested 1 day later and 21 days later
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Conclude
Little evidence for repression explanation
Language may play a role (but only in humans!)
Schema Explanation
Schemas for early memories aredifferent than those for adults
can’t consciously access them
Earlysensory-motor
schemas
Laterproposition
schemas
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The effects of schemas on judgment
Hindsight Bias
The outcome of an uncertain situation is judged
to be more likely if you already know what
happened.
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Rochester Nuke Plant Case
Hindsight bias in assigning blame in accident
steam tube
reactorcore
tools
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Experimental Demonstrations of Hindsight Bias
Fischoff (1975)
•subjects read about war between British andGurkas•then they judge the likelihood of the waroutcome
Told nothing(no hindsight)
Told “Britishactually won”
Told “Gurkasactually won”
Britishwin
.40
.55
.32
Gurkaswin
.20
.12
.35
Nobodywin
.40
.33
.33
Estimated Probability
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Arkes et al. (1981)
Doctors given a case history to read
Is it disease A or disease B?
Group 1 - told nothing about real diagnosis
Group 2 - told “correct” diagnosis was disease A
Group 3 - told “correct” diagnosis was disease B
Result: probability estimates were higher for
“correct” diagnosis
So: Hindsight Bias
•Hindsight bias happens when you warn people
to avoid it
•It does not happen when subjects don’t believe
the outcome information
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Explaining Hindsight Biases by Schemas
•Outcome info activates schema
•Schemas guide retrieval of facts
•Retrieved facts bias judgments of probability
Medical example: heart attack or indigestion
Symptoms
smokes
felt pain after dinner
skipped heart beats
burps a lot
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heartattack
schema
indigestionschema
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Mnemonic Devices
External Aids -- notes, string . . .
Internal Aids
used at used atencoding retrieval
Internal Aids used at Encoding
Basic Strategy
make each item distinctive(reduce interference)
make a collection of items meaningfully related(instantiate a schema)
use a retrieval strategy to make sure you don’t miss anything
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Method of loci
used for serial recall makes items distinctive and allows for a good
retrieval strategy
Peg words
serial recall distinctive good retrieval strategy
one - buntwo - shoethree - treefour - doorfive - hivesix - sticks
seven - heaveneight - gatenine - wine
ten - zen
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Keyword method for foreign language vocabulary
Paling (Dutch) = Eel (English
make image of
Emphasizes distinctiveness and useful retrievalstrategy
Chunking Strategies (for lists)BROWN EEL NAIL PAPER
sentencestoryimage
Emphasize distinctiveness and meaningfulnessof collection
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People with Good Memories
Exceptional ability or just good strategies?
How specific are the abilities
S. (studied by Luria)
had very vivid mental imagery
serial recall of 70-word listsretained for years
used method of loci
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An exceptional memory with no imagery
V.P. (studied by Hunt & Love)
Continuous Paired Associate Task
JUK - 23
ROQ - 29
CUH - 13
JUK - ?
CUH - 97
ROQ - ?
CUH - ?
etc.VP’s digit span = 25Story recall - nearly perfect
after 1 year
•Used rapidly generated semantic associations
Recall
100%
| | | | | |2 4 6 8 10 12
VP
CollegeStudents
Lag
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No mnemonic devices at all
Elizabeth (Stromeyer
Eidetic Memory“Photographic”
10,000 dotsResults are questionable
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Conclusions
•People don’t just have good or bad memory
as a whole -- they have good or bad memory-
related skills.
(e.g., good imagery, good ability to form
semantic associations)
•For verbal memory, mnemonic devices are
needed for exceptional performance, but these
don’t need to involve imagery.
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THE CAR CLIMBED THE HILL.
THE CAR CLIMBED THE HILL.