Chapter 9: The Organization of Knowledge in the Mind Flashcards

(46 cards)

1
Q

Can be expressed in words and other symbols.

A

Declarative

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2
Q

Knowledge about how to follow procedural steps for performing actions.

A

Procedural

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3
Q

The use of multiple approaches and techniques to address a problem.

A

Converging operations

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4
Q

4 fundamental unit of symbolic knowledge.

A

Concepts
Categories
Semantic networks
Schemas

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5
Q

Idea about something that provides a means of understanding the world.

A

Concepts

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6
Q

Group of items into which different objects or concepts can be placed that belong together because they share some common features
or can act as a category.

A

Categories

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7
Q

3 categories in symbolic knowledge.

A

Natural Category
Artificial Category
Ad Hoc Category

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8
Q

A knowledge base that represents semantic
relations between concepts in a network.

A

Semantic networks

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9
Q

Mental frameworks of knowledge that encompass a number of interrelated concepts; creates a meaningful structure of related concepts.

A

Schemas

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10
Q

Groupings that occur naturally in the world, like birds or trees.

A

Natural categories

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11
Q

Groupings that are designed or invented by humans to serve particular purposes or functions.

A

Artifact categories

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12
Q

Categories that are just created for a moment or for specific purpose.

A

Ad hoc categories

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13
Q

Concepts appear to have this level of
specificity, a level within a hierarchy that is preferred to other levels.

A

Basic level (natural level)

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14
Q

Theories on concept organization.

A

Feature-based categories
Prototype theory
Exemplars
Theory-based categorization

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15
Q

A full theory of categorization can combine both defining and characteristic features, so that each category has both a prototype and a core; combining feature-based and prototype theories.

A

Synthesis

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16
Q

Must have this to be considered a member.

A

Feature-based categories

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17
Q

Category containing salient features that are true of most instances; ideal representation of the category.

A

Prototype theory

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18
Q

Takes different approach: grouping things together not by their defining features but rather by their similarity to an averaged model of the category.

A

Prototype theory

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19
Q

An abstract average of all the objects in the category we have encountered before. It is what the objects are compared with in order to put them into a category.

20
Q

Describe the prototype but are not necessary for it. Commonly are present in typical examples of concepts, but they are not
always present.

A

Characteristic Features

21
Q

Categories that can be readily defined through defining features such as bachelor.

A

Classical concepts

22
Q

Categories that cannot be so easily defined, such as game or death.

A

Fuzzy concepts

23
Q

Refers to the defining features somethings must have to be considered an example of a category.

24
Q

Typical representatives of a category.

25
A view of meaning which holds that people understand and categorize concept in terms of implicit theories, or general ideas they have regarding those concepts; also called an explanation-based view.
Theory- Based View of Categorization
26
An older model still in use today is that knowledge is represented in terms of a hierarchical semantic network.
Collins and Quillian's Network Model
27
A web of elements of meaning (nodes) that are connected with each other through links.
Semantic network
28
Elements of meaning; typically concepts.
Nodes
29
Contains information about the particular order in which things occur.
Script
30
Specialized vocabulary commonly used within a group, such as profession or trade.
Jargon
31
Information is handled through a linear sequence of operations, one operation at a time.
Serial Processing of information
32
Types of non-declarative knowledge.
Procedural knowledge Simple associative conditioning Simple Non Associative Knowledge Priming
33
Types of priming.
Semantic priming Repetition
34
Contains a mechanism by which information can be retrieved and also a structure for storing information; nodes can be either inactive or active at a given time; suggests means by which the network changes as a result of activation.
Act-R (Anderson)
35
3 stages of acquisition of procedural knowledge.
Cognitive stage Associative stage Autonomous stage
36
We think about explicit rules for implementing the procedure.
Cognitive stage
37
We consciously practice using the explicit rules extensively, usually in a highly consistent manner.
Associative stage
38
We use these rules autonomically and implicitly without thinking about them.
Autonomous stage
39
Aspect of proceduralization; involves the two complementary processes of generalization and discrimination; we learn to generalize existing rules to apply them to new conditions.
Production tuning
40
We handle very large numbers of cognitive operations at once through a network distributed across incalculable numbers of locations in the brain.
Parallel distributed processing (PDP) models/connectionist models
41
Not stimulated beyond their threshold of excitation. They do not release any neurotransmitters into the synapse.
Inactive neurons
42
Release neurotransmitters that stimulate receptive neurons at the synapse; increase the likelihood that the receiving neurons will reach their threshold of excitation.
Excitatory neurons
43
Release neurotransmitters that inhibit receptive neurons; reduce the likelihood that the receiving neurons will reach their threshold of excitation.
Inhibitory neurons
44
Related to meaning as expressed in language—i.e., in linguistic symbols.
Semantic
45
Provides a means of organizing concepts.
Network
46
The overall process by which we transform slow, explicit information about procedures (“knowing that”) into speedy, implicit, implementations of procedures (“knowing how”).
Proceduralization