Chapter 9 - Conceptual Knowledge Flashcards

1
Q

Anterior Temporal Lobe (ATL)?

A

Area in the temporal lobe.

  • Damage to this area has been connected with semantic deficits in dementia patients and with the savant syndrome.
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2
Q

Back Propagation?

A

A process by which learning can occur in a connectionist network, in which an error signal is transmitted backward through the network. This backward-transmitted error signal provides information needed to adjust the weights in the network to achieve the correct output for a stimulus.

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3
Q

Basic Level?

A

In Rosch’s categorization scheme, the level below the global level.

According to Rosch, the basic level is psychologically special because it is the level above which much information is lost and below with little is gained.

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4
Q

Categorization?

A

The process by which objects are placed in categories.

  • Essential core: something that distinguishes each item in the category (defining feature).
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5
Q

Category-Specific Memory Impairment?

A

A result of brain damage in which the patient has trouble recognizing objects in a specific category.

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6
Q

Cognitive Economy?

A

A feature of some semantic network models in which properties of a category that are shared by many memories of a category are stored at a higher-level node in the network.

Ex.) The property “can fly” would be stored at the node for “bird”, rather than at the node for “canary”.

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7
Q

Concept?

A

A mental representation of a class or individual.

  • Have one or more ‘core’ representations.
  • No rigid boundaries.
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8
Q

Conceptual Knowledge?

A

Knowledge that enables people to recognize objects and events and to make inferences about their properties.

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9
Q

Connection Weight?

A

In connectionist models, a connection weight determines the degree to which signals sent from one unit either increase or decrease the activity of the next unit.

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10
Q

Connectionism?

A

A network model of mental operation that propose that concepts are represented in networks that are modeled after neural networks. The approach to describing the mental representation of concepts is also called the parallel distributed processing (PDP) approach.

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11
Q

Connectionist Network?

A

The type of network proposed by the connectionist approach to the representation of concepts.

  • Based on neural networks but are not necessarily identical to them.
  • One key property is that a specific category is represented by activity that is distributed over many units in the network
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12
Q

Crowding?

A

Animals tend to share many properties, such as eyes, legs, and the ability to move. This is relevant to the multiple-factor approach to the representation of concepts in the brain.

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13
Q

Definitional Approach to Categorization?

A

The idea that we can decide whether something is a member of a category by determining whether the object meets the definition of the category.

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14
Q

Embodied Approach?

A

Proposal that our knowledge of concepts is based on reactivation of sensory and motor processes that occur when we interact with an object.

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15
Q

Error Signal?

A

During learning in a connectionist network, the difference between the output signal generated by a particular stimulus and the output that actually represent that stimulus.

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16
Q

Exemplar?

A

In categorization, members of a category that a person has experienced in the past.

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17
Q

Exemplar Approach to Categorization?

A

The approach to categorization in which members of are judged against exemplars.

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18
Q

Family Resemblance?

A

In considering the process of categorization, the idea that things in a particular category resemble each other in a number of ways.

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19
Q

Global Level?

A

The highest level is Rosch’s categorization scheme.

Ex.) “Furniture” or “Vehicles”.

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20
Q

Graceful Degradation?

A

Disruption of performance due to damage to a system that occurs only gradually as parts of the system are damaged.

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21
Q

Hidden Units?

A

Units in a connectionist network that are located between input and output units.

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22
Q

Hierarchical Model?

A

As applied to knowledge representation, a model that consists of levels arranged so that more specific concepts, such as canary, are at the bottom and more general concepts, such as bird, are at higher levels.

23
Q

Hierarchical Organization?

A

Organization of categories in which larger, more general categories are divided into smaller, more specific categories. These smaller categories can, in turn, be divided into even more specific categories to create a number of levels.

24
Q

Hub & Spoke Model?

A

A model of semantic knowledge that proposes that areas of the brain that are associated with different functions are connected to the ATL, which integrates information into these areas.

25
Q

Input Units?

A

Units in a connectionist network that are activated by stimulation from the environment.

26
Q

Lexical Decision Task?

A

A procedure in which a person is asked to decide as quickly as possible whether a particular stimulus is a word or a nonword.

27
Q

Multiple-factor Approach?

A

Seeking to describe how concepts are represented in the brain by searching for multiple factors that determine how concepts are divided up within a category.

28
Q

Output Units?

A

Units in a connectionist network that contain the final output of the network.

29
Q

Prototype?

A

A standard used in categorization that is formed by averaging the category members a person has encountered in the past.

30
Q

Prototype Approach to Categorization?

A

The idea that we decide whether something is a member of a category by determining whether it is similar to a standard.

31
Q

Semantic Category Approach?

A

An approach to describing how semantic information is represented in the brain that proposes that there are specific neural circuits for specific categories.

32
Q

Semantic Dementia?

A

Condition in which there is a general loss of knowledge of all concepts.

33
Q

Semantic Network Approach?

A

An approach to understanding how concepts are organized in the mind that proposes that concepts are arranged in networks.

34
Q

Sensory-functional Hypothesis?

A

Explanation of how semantic information is represented in the brain that states that the ability to differentiate living things are artifacts depends on one system that distinguishes sensory attributes and another system that distinguishes function.

35
Q

Sentence Verification Technique?

A

A technique in which the participant is asked to indicate whether a particular sentence is true or false.

36
Q

Specific Level?

A

In Rosch’s categorization scheme, the level below the basic level.

Ex.) “Kitchen table” for the basic category “table”.

37
Q

Spreading Activation?

A

Activity that spreads out along any link in a semantic network that is connected to an activated node.

38
Q

Subordinate (specific) Level?

A

The most specific category level distinguished by Rosch.

Ex.) “Kitchen Table”

39
Q

Supercordinate (global) Level?

A

The most general category distinguished by Rosch.

Ex.) Furniture”

40
Q

Transcranial Magnetic Stimulus (TMS)?

A

A procedure in which magnetic pulses are applied to the skull in order to temporarily disrupt the functioning of parts of the brain.

41
Q

Typicality Effect?

A

The ability to judge the truth or falsity of sentences involving high-prototypical members of a category more rapidly than sentences involving low-prototypical members of a category.

42
Q

Unit?

A

Neuronlike processing units in a connectionist network.

43
Q

Lexical Decision - Experiment?

A

Demonstration of the lexical decision task, which has been used to provide evidence for the concept of spreading activation.

44
Q

Absolute Identification - Experiment?

A

Remembering levels that have been associated with a stimulus.

45
Q

Prototypes - Experiment?

A

A method for studying the effect of concepts on responding.

46
Q

Nodes?

A

Represent one idea / single concept.
- Linked together.
- Connections.

47
Q

Who is associated with Prototype theory?

A

Rosch

48
Q

Fuzzy Categorization?

A

Category boundaries are context-dependent.
Categories have no single defining attributes.

49
Q

Collins & Quillian - Hierarchical Model?

A
  • Concepts as nodes connected hierarchically.
  • Cognitive economy minimizes redundancy.
  • Verification time increases with distance in the hierarchy.
  • Most general information is stored at the top, whilst more specific information is stored further down.
  • When thinking of a concept, brain ‘activates’ that node and spreads to related ones.

ISSUES:
- Does not match IRL thinking.
- Too simplistic.
- People recognize “a robin is a bird” faster than “a penguin is a bird”, but this model does not explain why.

50
Q

Smith et al. - Semantic Feature Model?

A

Concepts described using defining features (essential) and characteristic features (typical but not necessary).
Steps:
(1) Quick Comparison: check feature overlap between the thing and category.
(2) Careful Check: If unsure, brain looks at defining features to decide.

ISSUES:
- Hard to define ‘must have’ features.
- Does not explain messy or unclear categories (ex. is a tomato a fruit?)

51
Q

Collins & Loftus - Revises Network Model?

A
  • Abandoned the strict hierarchy.
  • Propose different links that connect concepts.
  • Spreading activation between nodes.

Ex.) Links
- IS / A
- HAS / CAN
- NOT / CANNOT

52
Q

PDP Models?

A
  • Inspired by neural networks.
  • Distributed knowledge across nodes with parallel information processing.
  • Knowledge resides in the strength of connections.

HYPOTHESES:
(1) Distribution of knowledge across the neural network.
(2) PDP is the result of the combined action of a large number of simple nodes all connected together.
(3) Large enough network of even simple nodes can manifest a great intelligence.

53
Q
A