Categorization Flashcards

1
Q

Concept

A

The mental representation of something

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2
Q

Note that concepts are not always defined by specific features…

A

sometimes do not have NECESSARY or SUFFICIENT features to define them…

            "polymorphous"

e.g. What is the defining feature of a game?

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3
Q

Types of concept:

A

(i) Basic level concept – based on similarity of perceptual qualities (e.g., bird, flower).
(ii) Superordinate concept – groups of basic level concepts; not based on perceptual similarity (e.g. politician, tools).
(iii) Abstract concept – does not refer to individual entity, but to some property, relation or state (e.g., sameness, truth).

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4
Q

Basic level concept formation in animals

Bhatt, Wasserman, Reynolds & Knauss, 1988

A

Pigeons in a chamber with choice of four response keys.
Shown pictures of flowers, cars, people and chairs
Birds learned to peck different keys for exemplars of each
of the four categories of picture.
Then tested them with some new exemplars, that they had
never seen before……
They also were able to respond correctly to the new exemplars,
that they had never seen before.

This suggests that the birds had formed a “concept” of flowers,
cars, people and chairs.

However, performance was more accurate with the training
stimuli (80%) than with the novel, test stimuli (60%).

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5
Q

Theories of basic level concept formation:

A

Exemplar theory: Learn about every instance independently.
Classify novel exemplars via similarity to learned instances

Prototype theory: Abstract prototype corresponding to central tendency of training exemplars.

Classify novel exemplars on basis
of similarity to prototype you have
never seen

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6
Q

Prototype model

A

Category judgments are made by comparing a new exemplar to the prototype

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7
Q

Exemplars model

A

Category judgements are made by comparing a new exemplar to all the old exemplars of a category or to the exemplar that is the most appropriate

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8
Q

Theories of basic level concept formation:

A

Animals are clearly storing information about the training exemplars - which is why they were more accurate with them than the novel test stimuli. Implies their performance can be explained by exemplar theory
However, humans show the prototype effect (e.g., Homa et al., 1981) – categorize prototype more accurately than the training stimuli - even though it has never been seen before

This is more consistent with prototype theory

… and doesn’t seem to fit exemplar theory

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9
Q

Aydin & Pearce, 1994.

prototype effect in pigeons:

A

Artificial positive and negative prototypes defined as ABC and DEF…
The birds trained on three-element displays, created by distorting the prototypes (swapping one prototype element for one from the other category):
The birds trained on three-element displays, created by distorting the prototypes (swapping one prototype element for one from the other category):

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10
Q

The animals were taught that the three positive patterns

A

were always paired with food, whereas the three negative patterns were not. Birds pecked more at positive than negative patterns.
Then the birds were tested with the training patterns and the prototypes….

the test of prototype theory is whether they are more accurate with prototype they have never experienced
The birds responded more to the positive prototype ABC than to any of the positive patterns, and less to the negative prototype, DEF, than to any of the negative patterns
This is evidence of a kind of prototype effect

(though not everyone thinks this evidence is good enough - pigeons fail to learn more complex prototypes)

Narrowing the gap… humans and animals more similar than we thought…

so let’s ask the converse question

       – do humans store exemplars as well?
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11
Q

Whittlesea, 1987

A

Lists 1, 2 and 3 all differ from prototype by two letters

List 1 more similar to List 2 than List 3

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12
Q

If they have abstracted the prototype,

A

then they should be equally good at categorising Lists 1, 2 and 3, as they all differ from the prototype by two letters…

But if they are remembering the exemplars, then:

List 1 should be easiest (studied),
then List 2 (differs a little from List 1) and
then List 3 (differs a lot from List 1)
Prototype predicts List 1 = List2 = List 3
Exemplar predicts List 1 > List 2 > List 3
Pretest with all stimuli: 30ms presentation followed by a mask;
then had to write down as many letters as they could.

Score is improvement from pretest (high scores = easy):

1 1.07
2 0.80
3 0.51

List 1 was easier than List 2, which was easier than List 3

Humans show results consistent with exemplar theory

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13
Q

Conclusion

A

Both humans and animals retain information about the
training items/exemplars (consistent with exemplar theory) but
show the prototype effect (consistent with prototype theory)

So which is best?
It turns out that a variation of exemplar theory can explain the
prototype effect!

The two theories not so different after all.

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14
Q

How can exemplar theory explain the prototype effect?

A

Aydin & Pearce’s experiment:

we need to explain why birds peck more at positive prototype than
to other members of the positive category

Examine learning about each component feature of the positive trained stimulus
components of training stimulus appear on 5 food and 4 no food trials

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15
Q

If exemplar theory assumes each stimulus comprises a set of features

A

that are more or less associated with category membership (here food/no food), then can explain prototype effect

This explanation is actually viewed as a new theory

           "feature theory"
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16
Q

Feature theory versus Exemplar theory

A

Difference is subtle…

They both say you store something about the stimuli on each trial

Exemplar theory - new stimuli classified on basis of similarity of whole stimulus to stored examplars

Feature theory - new stimuli classified on basis of sharing features with stored exemplars
They can probably both explain the prototype effect
(but easier to show with feature theory)

There is still controversy about which of the three theories is best

Some say categories form by means of associative learning:

features of category are associated with the category label:

       Features → Category
17
Q

Does category learning show blocking?

A

blocking a key characteristic of associative learning:

pairing only produces association between X and Category if Category surprising

Feature→Category X+ Feature→Category X? small CR

                                   X+ Feature→Category    X?  bigger CR

              X→Category              X?  biggest CR
18
Q

Experiment by Shanks (1990; cf. Gluck and Bower,1988)

A

Subjects given trials in which medical symptoms paired with a
disease diagnosis

Subjects must predict disease from symptom

19
Q

Two diseases, one common (e.g. flu), one rare

e.g. neuroscience allergy - NA

A

Three symptoms:

one target symptom: (a – headache)

and two nontarget symptoms:
b – a runny nose

c – rash

The following is a simplification of Shanks’s experiment:
Which does headache predict more – flu or NA?

6 headache  flu 6 headache  NA same number of pairings

BUT when headache paired with flu, runny nose is also present

  • and when headache paired with NA, rash is also present

and runny nose predicts flu much better than rash predicts NA
so flu less surprising when paired with headache than NA is when paired with headache

 poorer learning about flu

20
Q

Exemplar theory predicts that

A

given headache, subjects will be

just as likely to predict flu as NA flu = NA

21
Q

Associative theory predicts that

A

given headache, subjects will be

more likely to choose rare NA than common flu flu < NA

22
Q

Associative theory wins!

A

Proportion common disease (flu) diagnoses: .37
Proportion rare disease (NA) diagnoses: .63

Suggests that associative learning is the best explanation of performance
on this categorization task in human subjects.

23
Q

Superordinate level concept formation

A

Superordinate categories have members that are not necessarily physically similar to each other, but share a common associate

Can animals can form categories of this kind?

24
Q

Wasserman, De Volder & Coppage, 1992

A

Pigeons trained with slides of people, chairs, cars and flowers
The birds reinforced for making Response 1 to either people or chairs, and for making Response 2 to either cars and flowers.
people and chairs in one category, cars and flowers in another
Then made Response 3 to people, and Response 4 to cars, and tested with chairs and flowers, with choice of Response 3 & Response 4

Response 3 to chairs & Response 4 to flowers was correct

25
Q

Superordinate level concept formation in animals

A

Animals seem to have formed a superordinate category; treating people and chairs as equivalent because both paired with the same response in the first phase of training

This is a more complex type of categorization because the category
members are not physically similar.

Is this the same as how people do it?

Some people (e.g. Pearce, 1997) argue that this is not true categorization like that seen in humans, but just simple “associative learning” – and that what we do is somehow more complicated.

But need to specify exactly how what is more complicated, so we can test…

26
Q

Abstract concept formation in animals

A

Relatively little done on abstract concepts in animals.

The one that has been studied most is same/different, usually studied using a match-to-sample technique (MTS).

Birds shown a sample key e.g. red; then given a choice of red and green.

Must peck the same colour as the sample – i.e. red. On other trials the bird gets a green sample; then task is to peck the green comparison

27
Q

Abstract concept formation in animals

Relatively little done on abstract concepts in animals.

A

The one that has been studied most is same/different, usually studied using a match-to-sample technique (MTS).

Birds shown a sample key e.g. red; then given a choice of red and green.

Must peck the same colour as the sample – i.e. red. On other trials the bird gets a green sample; then task is to peck the green comparison

28
Q

Abstract concept formation in animals

Relatively little done on abstract concepts in animals.

A

The one that has been studied most is same/different, usually studied using a match-to-sample technique (MTS).

Birds shown a sample key e.g. red; then given a choice of red and green.

Must peck the same colour as the sample – i.e. red. On other trials the bird gets a green sample; then task is to peck the green comparison

29
Q

Abstract concept formation in animals

Relatively little done on abstract concepts in animals.

A

The one that has been studied most is same/different, usually studied using a match-to-sample technique (MTS).

Birds shown a sample key e.g. red; then given a choice of red and green.

Must peck the same colour as the sample – i.e. red. On other trials the bird gets a green sample; then task is to peck the green comparison

30
Q

Abstract concept formation in animals

Relatively little done on abstract concepts in animals.

A

The one that has been studied most is same/different, usually studied using a match-to-sample technique (MTS).

Birds shown a sample key e.g. red; then given a choice of red and green.

Must peck the same colour as the sample – i.e. red. On other trials the bird gets a green sample; then task is to peck the green comparison

31
Q

Wasserman, Hugart & Kirkpatrick-Steger, 1995.

A

Birds could master this, but were typically poor at transferring to
skill to different colours (e.g., blue and yellow). This suggests
they had not really learned the concept of same.
However, more complex training techniques seemed to produce
better results:
Pigeons shown complex stimulus displays, and given a choice of
a red and a green key.
They were trained on arrays with one set of specific icons

Rewarded for pecking red on same trials, green on different trials

Finally they were tested with different arrays involving a different specific icons