chapter nine Flashcards
1
Q
conceptual knowledge
A
helps with recognition and generating inferences
2
Q
concepts
A
mental representations of an object, event, or idea
3
Q
category
A
examples of concepts that are grouped together
4
Q
categorization
A
process of building a category
5
Q
approaches to categorization
A
1) definition approach
2) family resemblance
3) prototype approach
4) exemplar approach
6
Q
definitional approach
A
- categorization based on definition of the category
- each member of a category needs to meet the same criteria
- i.e. “a square is a plane figure having four equal sides…”
7
Q
family resemblance
A
- categorization of objects based on ways they resemble each other
- each feature of objects within a category do not need to match
8
Q
prototype approach
A
- categorization based on similarity with a prototype
- typicality effect: faster to verify prototypical members as belonging to a category than non-prototypical members
9
Q
exemplar approach
A
- categorization based on the greatest similarity between an item in a category and the novel item (see if it matches an item within that category)
- drawback: too many exemplars in a category makes the comparison very time consuming
10
Q
rosch’s hierarchical organization
A
1) global/superordinate category
2) basic-level category
3) subordinate category
11
Q
superordinate category
A
- top of the hierarchy
- too broad
- can’t generate a prototype at this level
12
Q
basic-level category
A
- middle of the hierarchy
- often first words learned
- categories are most differentiated at this level
- items within the basic-level category are similar (i.e. guitar and drums)
- items in different basic-level categories are dissimilar (i.e. guitar vs. apple)
13
Q
subordinate category
A
- bottom of the hierarchy
14
Q
which level is categorization the fastest?
A
- at the basic-level category
- there is an exception; i.e. if you are a dog trainer and know all breeds of dogs, you can categorize in the subordinate categories quicker, like different dog breeds
15
Q
collins and quillian’s semantic network model
A
- hierarchical model
- explains the organization of semantic knowledge but goes one step further
- concepts are represented as “nodes”
- concepts are connected to related concepts through “links”
- retrieval of concepts involves spreading activation