CHAPTER 8 Flashcards

(54 cards)

1
Q

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

A

Converging Operations

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2
Q

is the fundamental unit of symbolic
knowledge, or knowledge of correspondence
between symbols and their meaning.

A

Concept

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3
Q

is a hierarchy of concepts; a category is a
concept with members.

A

Category

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4
Q

are groupings that occur
naturally in the world, like birds or trees

A

Natural categories

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5
Q

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

A

Prototype theory

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5
Q

are groupings that are designed
or invented by humans to serve particular purposes
or functions, like automobiles and kitchen
appliances.

A

Artifact categories

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6
Q

defining features something must have to be
considered an example of a category

A

Core

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7
Q

Tested the notion that we come
to understand the importance of defining features only as we grow older

A

Keil & Batterman

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8
Q

based view of meaning - holds that people understand & categorize concepts in terms of implicit theories or general ideas they have regarding those concepts

A

Theory/Explanation

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9
Q

Isolate features of a good
sport.

A

Feature-based

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10
Q

find characteristic features
of a good sport.

A

Prototype View

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11
Q

find some good examples
you have known in your life.

A

Exemplar View

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12
Q

use of experience to
construct an explanation for what makes
someone a good sport.

A

Theory-Based View

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13
Q

holds that certain categories have an
underlying reality that cannot be observed directly.

A

Essentialism

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14
Q

Beliefs about the characteristics of
groups are often associated with the devaluation of these groups & increased prejudice

A

Essentialist

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15
Q

suggest that knowledge is represented in our minds in the form of concepts that are connected with each other in a web-like form.

A

Semantic-network Models

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15
Q

is a web of elements of meaning
(nodes) in which the elements are connected with each other through links.

A

Semantic network

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16
Q

Defines each mammal by unique features (e.g., rabbit: fur, ears, hopping)

A

Feature-based theory

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16
Q

are elements that are typically
concepts.

A

Nodes

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17
Q

Organizes knowledge by comparing features of concepts directly

A

Semantic Features Theory

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18
Q

connection between the nodes

A

Relationships

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18
Q

Compares all mammals
across shared features

A

Semantic features theory

19
Q

showed that semantic learning can still occur without a fully functioning hippocampus

A

H.M. Case Study

20
Q

It is a mental framework for organizing
knowledge.

have several characteristics
that ensure wide flexibility

21
● Facts ● Abstraction ● Relationships ● Memories ● Schemas
FARMS
22
people may extend the boundaries of that scene in their minds & remember details they had not actually seen
Boundary Extension
23
Contains information about the particular order in which things occur less flexible than schemas
SCRIPTS
24
tables, menu, food, check, money
Props
25
customer, waiter, cook, cashier
Roles
26
customer is hungry
Opening Conditions
27
entering, ordering, eating, exiting
Scenes
28
customer has less money, owner has more money, customer is no longer hungry
Results
29
● Props ● Roles ● Opening conditions ● Scenes ● Results
PORRS
30
also may come into play in regard to the ways in which experts converse with one another
Scripts
31
Specialized vocabulary commonly used within a group, such as a profession or trade.
Jargon
32
if both typical & atypical actions are provided, the atypical info will be recalled more readily
Typicality Effect
33
Acquired by practicing the implementation of a procedure
Procedural knowledge representation
34
is handled through a linear sequence of operations, one operation at a time.
Information
35
instructions regarding procedures for implementing a task
Structure of rules
36
instructions for implementing a subtask within a larger task governed by a routine
Subroutines
37
● Perceptual, motor, and cognitive skills (procedural knowledge) ● Associative knowledge (classical and operant conditioning ● Priming (Activation of related mental pathways) ● Simple non associative knowledge (habituation and sensitization)
PAPS
38
flaws in the instruction for the conditions or for executing the actions.
Bugs
39
Habituation, reduced response to repeated stimuli and sensitization, increased response to repeated stimuli
Simple Non Associative Knowledge
39
Implicit knowledge that is difficult to verbalize; includes various types of mental representations beyond just procedural knowledge
Nondeclarative Knowledge
40
Learning through associations like classical or operant conditioning
Simple Associative Knowledge
40
The activation of related information pathways that makes it easier to retrieve similar information later
Priming
41
is a model of information processing that integrates a network representation for declarative knowledge and a production system representation for procedural knowledge
The ACT-R (where the R stands for rational)
42
Spreading activation within the network from one node to another. But the amount of information (number of nodes)
Declarative Knowledge within ACT
43
inspired information-processing theories assume that humans, like computers, process information serially.
Computer
43
Acquisition of procedural knowledge through a framework that represents such knowledge in production systems, progressing through three stages: Cognitive, Associative, and Autonomous
Procedural Knowledge within ACT-R
44
involves the two complementary processes of generalization and discrimination. We learn to generalize existing rules to apply them to new conditions.
Production Tuning
45
the broader field of cognitive psychology strives for domain general understandings of cognitive processes
1960s through the mid 1970s-
46
the balance shifted to domain specificity due to demonstrations of the role of specific knowledge in chess playing
Late 1970s
47
argued for extreme domain specificity, proposing that the mind is modular, divided into discrete modules operating independently
“The Modularity of Mind” by Fodor (1983)