Chapter 9- Concepts and Generic Knowledge Flashcards

1
Q

Family Resemblance:

A

• Members of a category have features that are common among one another
i.e. most dogs have four legs, fur, bark…etc

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2
Q

Prototype Theory:

A

• Define a category by specifying the “center” of the category (ideal member of the family)
• Prototype/ideal will be an average of various category members
i.e. Prototype dog is average colour of all dogs, average size,…etc)

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3
Q

Graded Membership:

A

Objects closer to prototype are better members of the category than objects farther from the prototype

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4
Q

Sentence Verification Task:

A

• Participants presented with succession of sentences, have to indicated whether each sentence is true or false
Response time was slower for “A penguin is a bird” than “A robin is a bird”

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5
Q

Production Task:

A

• Participants asked to name as many dogs or birds as they can
Birds close to prototype mentioned first, birds farther from prototype later on

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6
Q

Rating Task

A

Participants ask to rate how “doggy” each dog is

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7
Q

Basic Level Categorization:

A

• Basic level categories usually represented via a single word
• More specific categories identified via a phrase
i.e. chair is a basic level category, lawn chair is more specific

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8
Q

Ideal Exemplar Based Reasoning:

A

• Exemplar being defined as a specific remembered example
• Compare new object to a specific example rather than the prototype
i.e “Is this is chair?” it kind of looks like a the prototype of a chair, and it resembles Bob’s chair (which you know is a chair), so yes, it is a chair

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9
Q

Typicality:

A

• How similar to the prototype or the ideal examplar is the object
• Category judgments can be independent of typicality (i.e. a painted lemon is still a lemon)
• Inferences about categories guided by typicality
i.e Participant told a new fact about robins, willing to infer this fact is true for all birds

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10
Q

Resemblance:

A

Depends on shared important, essential properties

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11
Q

Explanatory Theories:

A

• Provide crucial knowledge base about an object
i.e. See a clothed person jumping into a pool at a party, think they belong in the category “drunk” because theory enables us to think about what a drunk person would do

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12
Q

Natural Kinds:

A

• Groups of objects that exists naturally in the word
• Properties of these objects are consistent
• i.e mountains, alligators..etc
• People tend to assume more stability with natural kinds
i.e. toaster can be turned into a coffee pot, but a raccoon can’t be turned into a cat

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13
Q

Artifacts:

A

• Human made objects
• Properties not always constant
Different brain areas activated when thinking about living vs non living objects

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14
Q

Goal Derived Categories:

A

• Understanding of these concepts depends on understanding of goal
i.e. diet foods

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15
Q

Nonredundancy:

A

• Instead of storing the fact that cats, birds both have hearts, better to label them both as animals and then have the category “animal” lead to “has a heart”
Not always true- participants respond quickly to sentence like “peacocks have feathers” because it is an essential feature, so a strong association between “peacock” and “feathers” established

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16
Q

Isa Links:

A

• Propositional networks

“Sam isa dog”, “bird hasa head”

17
Q

Propositions:

A

• Smallest units of knowledge that can either be true or false
i.e. Children love candy is a proposition, children is not

18
Q

Local Representations:

A

Node represents one idea, thinking about idea activates node

19
Q

Connectionist Networks:

A
  • Each idea is represented by a specific pattern of activation across network (distributed representations)
    • Individual nodes mean nothing
20
Q

Parallel Distributed Processing (PDP):

A

Local and distributed representations occur simultaneously

21
Q

Connection Weights:

A

• Strength of individual connections among nodes

Learning requires adjustment of many connection weights