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Cognitive
Psychology PSY 504
VU
Lesson
36
Memory
Representation of
knowledge (Continued)
Schema
Theory
Schema:
Schema
is a Greek word which means
frame.
A
general knowledge structure
that provides a framework
for organizing clusters of
knowledge.
When
representing the knowledge we
have about various
categories, it is useful to be able
to
encode
the information that certain
features are typical of a
category while others are
not.
Schemas
are organized sets of facts.
Subjects use schemas to
infer that certain
unobserved and
unmentioned
elements must be present. It
seems that schemas are a
major mechanism for
elaborating
material during study, and
are also the major
mechanism for reconstructing
memories
at
test.
Schema
Theory refers to a collection of
models presuming that we
encode such knowledge
clusters
into memory and use
them to comprehend and store
our experiences.
A
European Solution
While
Psychologists in US were busy
developing Stimulus-Response Theories,
Bartlett in
England
and Piaget in Switzerland
were arguing that behavior
is influenced by large units
of
knowledge
organized into
schemas.
Bartlett's
Schema Theory
Bartlett
(1932) conducted an experiment
for getting evidence for
the role of schemas in
memory.
He
used a story called "The
War of the Ghosts". It has
been used in research on
many
subsequent
occasions and is still a
popular research item today.
Bartlett was interested in
how
the
subjects would remember a
story that fit in so poorly
with their cultural schemas.
He had
subjects
recall the story after
various delays. Bartlett's
subjects showed clear
distortions in their
memory
for the story and
these distortions appeared to
grow with time.
Subjects
were distorting the story to
fit with their own
cultural stereotypes. So he found
when
subjects
read a story that does
not fit with their
own schemas, they will
exhibit a powerful
tendency
to distort the story to make
it fit.
According
to the Bartlett, Schema is an
active organization of past
experiences in which the
mind
abstracts
a general cognitive structure to
represent many particular
instances of those
experiences.
It means all past experience
are organized actively in
mind. Then we absorb
new
experiences
in our schemas.
A
schema provides a knowledge
structure for interpreting
and encoding aspects of a
particular
experience.
At his time, Bartlett was
not taken seriously.
The
Rise of Schema
Theory
In
1975 a number of prominent
scientists argued that
schemata/schemas are needed to
organize
knowledge
in artificial intelligence, cognitive
psychology, linguistics, and
motor performance. A
number
of psychologists from different
fields gave importance on
schemas. Artificial
intelligence
focused
on schemas because schemas
make knowledge that helps
the computer in
information.
Knowledge
structures include all parts
of information, for example a
bird; it includes beak,
flying
quality,
legs, hair etc. Linguistic
psychologist also gave
importance to the schemas
because
schemas
help in organizing the
linguistic knowledge.
Cognitive
psychology was working on
atomistic little bit idea at
that time then they
realized the
importance
of schemas.
Bartlett's
major assumptions were
adopted and developed
further into a modern schema
theory.
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Cognitive
Psychology PSY 504
VU
Modern
Schema Theory
Minsky
(1975):
Minsky
started the modern schemas
theory again, for
representing knowledge in
Artificial
Intelligence
Programs. He made many
computer programs in which
schemas were used. He
said
mega
knowledge structures are
very important for computer
programs.
Rumelhart
(1980):
He
said schemas are building
blocks of cognition. Like
atoms are building blocks of
element.
Schema
is very rich, brave and
complex building block of
memory.
Schemas
provide skeleton structure to be
filled out with detailed
properties of a particular
instance.
For example a bird schema of
bird includes instances like
feathers, beak, or other
bird
features.
House:
A Schema example
The
basic insight is that
concepts like house are
defined by a configuration of features,
and each
of
these features involves
specifying a value the
object has on some
attribute. The schema
representation
is the way to capture this
basic insight. Schemas
represent the structure of
an
object
according to a slot structure,
where slots specify values
that the object has on
various
attributes.
So we have the following
partial schema representation of a
house:
For
instance, our knowledge of
what a house is like.
Slots
are Values.
House
Superset
schema: building a special
slot in each schema is its
superset schema. In
House,
it is Building. Building has
walls, roof, it is built on
the ground etc
Parts:
Rooms (living, bed, kitchen,
etc.)
Materials:
wood, bricks, stone,
cement
Function:
human dwelling
Shape:
rectilinear, triangular
Size:
100-10,000 sqft
Exemplars:
images of various
houses
Generally
these slots are present in
all things. Each pair of a
slot and a value specifies a
typical
feature.
The fact that houses
are typically built of
materials like wood and
brick does not
exclude
such
possibilities as cardboard.
If
the computer program has
all these information then
it can match the information
with your new
information.
Generalization
hierarchies
Supersets
schemas are basically
hierarchies' that e saw with
semantic networks. In this
case of
schemas,
they are sometimes called
generalization hierarchies. These
hierarchies provide a lot
of
information
about an object.
Part
hierarchy
Schemas
have another type of
hierarchy, called part
hierarchy. Thus, Parts of
houses, such as
walls
and rooms, have their
own schema definitions.
Stored with schemas for
walls and rooms we
would
find that these have
windows and ceilings. Thus,
using the part
relationships, we would be
able
to infer that houses have
windows and ceilings.
Schemas
are designed to facilitate
making inferences about the
concepts. If we know
something
a
house, we can use the
schema definition to infer
that it is probably made of
wood or brick, and it
107
Cognitive
Psychology PSY 504
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has
walls, windows, and the
like. However the
inferential processes for
schemas must be able
to
deal
with exceptions. It is also
necessary to understand the
constrains between slots
of
schemas.
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