Conceptual Knowledge II: Concepts Organized in the Mind Flashcards
Concepts Definition?
“categories of objects, events, and abstract ideas”
Broader than a category
Are concepts really organized in hierarchies? The semantic network approach says…
The semantic network approach says yes!
- Concepts are arranged in networks
- Networks are hierarchical
Semantic Network Approach - Collins & Quillian(1969) hierarchical model? *Cognitive economy
- 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
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
Results suggest people respond faster when nodes are closer together
Supports Collins & Quillian’s hierarchical model
Collins & Quillian’smodel intended to explain how concepts are functionally linked, not physiologically linked… Spreading activation?
Spreading Activation:
Activation of one node spreads to other connected nodes
(Priming by Spreading Activation Example) Seeing a list of multiple words relating to one topic but….
Not the word itself, however one think they do
Snooze
Pillow
Moon
-> Think we saw sleep
Limitations of Collins & Quillian’s model of semantic network approach?
- Doesn’t explain typicality effect
- Uncommon nodes are “skipped”, do not benefit from spreading activation
Connectionist Approach?
- 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
Connectionist Approach… Instead of “nodes,” there are “units” (like neurons)?
- 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
Support for the Connectionist Approach?
- Connectionist models really work!
- Computers can learn to identify things (computer vision loves this)
- Concepts are represented in a functional way
Support for the Connectionist Approach - Evidence from brain damage?
- Damage usually only causes partial loss of concepts
- Supports idea that concepts are distributed widely
Support for the Connectionist Approach - Evidence from learning?
- Generalisation occurs when e learn concepts that are similar to previously known ones
- Connectionism has generalisation built in
How Concepts are Represented in the Brain - Sensory-functional hypothesis?
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
How Concepts are Represented in the Brain - Multiple-Factor approach?
Multiple-Factor approach:
Like sensory-functional hypothesis, but more factors use to distinguish concepts
E.g.: colour, smell, type of motion, how to use
How Concepts are Represented in the Brain - Semantic-Category approach?
Semantic-Category Approach:
Semantic categories are mapped to distinct brain networks
Distributed, but some are visible with FMRI scans