Conceptual Knowledge II: Concepts Organized in the Mind Flashcards

1
Q

Concepts Definition?

A

“categories of objects, events, and abstract ideas”

Broader than a category

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2
Q

Are concepts really organized in hierarchies? The semantic network approach says…

A

The semantic network approach says yes!
- Concepts are arranged in networks
- Networks are hierarchical

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3
Q

Semantic Network Approach - Collins & Quillian(1969) hierarchical model? *Cognitive economy

A
  • Categories/concepts are called nodes
  • Properties of each concept are indicated at nodes
  • Move up in the network to find more properties
    Cognitive economy:
    Shared properties are only stored at higher levels to avoid redundancy
  • Exceptions stored at lower nodes
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4
Q

Semantic Network Approach - Collins & Quillian(1969) experiment?

  • Participants respond to true or false statements
  • “A canary is a bird”
  • Each statement contains two nodes
  • IV: distance between nodes
A

Results suggest people respond faster when nodes are closer together

Supports Collins & Quillian’s hierarchical model

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5
Q

Collins & Quillian’smodel intended to explain how concepts are functionally linked, not physiologically linked… Spreading activation?

A

Spreading Activation:
Activation of one node spreads to other connected nodes

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6
Q

(Priming by Spreading Activation Example) Seeing a list of multiple words relating to one topic but….

A

Not the word itself, however one think they do

Snooze
Pillow
Moon
-> Think we saw sleep

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7
Q

Limitations of Collins & Quillian’s model of semantic network approach?

A
  • Doesn’t explain typicality effect
  • Uncommon nodes are “skipped”, do not benefit from spreading activation
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8
Q

Connectionist Approach?

A
  • Connectionist models are implemented on computers, intended to mimic the way brains work and learn
  • Modern machine-learning algorithms use this (esp. “neural network” algorithms)
  • Concepts are represented by a distributed network of activation
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9
Q

Connectionist Approach… Instead of “nodes,” there are “units” (like neurons)?

A
  • Units are connected (like axons)
  • Connection strength is assigned a weight
    Weight: degree to which next unit is activated or inhibited

Concepts are learned by experience in identifying them
- Errors cause readjustment of connection weights

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10
Q

Support for the Connectionist Approach?

A
  • Connectionist models really work!
  • Computers can learn to identify things (computer vision loves this)
  • Concepts are represented in a functional way
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11
Q

Support for the Connectionist Approach - Evidence from brain damage?

A
  • Damage usually only causes partial loss of concepts
  • Supports idea that concepts are distributed widely
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12
Q

Support for the Connectionist Approach - Evidence from learning?

A
  • Generalisation occurs when e learn concepts that are similar to previously known ones
  • Connectionism has generalisation built in
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13
Q

How Concepts are Represented in the Brain - Sensory-functional hypothesis?

A

Sensory-functional hypothesis:
Living and nonliving things are represented by different systems

Evidence by some patients having category-specific memory impairment
- People could identify tolls, but not animals

But there are many exceptions; distinction between sensory and functional representation is too simple

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14
Q

How Concepts are Represented in the Brain - Multiple-Factor approach?

A

Multiple-Factor approach:
Like sensory-functional hypothesis, but more factors use to distinguish concepts
E.g.: colour, smell, type of motion, how to use

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15
Q

How Concepts are Represented in the Brain - Semantic-Category approach?

A

Semantic-Category Approach:
Semantic categories are mapped to distinct brain networks

Distributed, but some are visible with FMRI scans

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16
Q

How Concepts are Represented in the Brain - Embodied approach?

A

Embodied Approach:
Concepts (esp. sensory and action concepts) are represented by the same networks responsible for sensing them and motor interaction with them

FMRI studies validates this

17
Q

How Concepts are Represented in the Brain - Hub-and-Spoke Model?

A
  • Anterior temporal lobe (ATL) is the “hub” integrating information
  • ATL is the nexus of other types of representations distributed throughout the brain
  • Concepts are represented by linking the specific networks (e.g., visual, motor, auditory) together by a central point in the ATL
18
Q

Support for the Hub-and-Spoke Model?

A
  • Damage to specialized brain areas can cause domain-specific conceptual deficits
  • Damage to the ATL can cause general conceptual deficits, called semantic dementia
  • Evidence from Transcranial Magnetic Studies