Exam #3 Flashcards
What are concepts?
Constituents of thoughts
Functions of a concept (4)
- Simple categorization
- Complex categorization
- Linguistic meaning
- Components of cognitive states
Abstract concepts (3)
- Time
- Space
- Behavior (morality, kindness, violence)
Classical view of concepts
- All members within a category share a set of features: binary distinction (belongs or does not)
- Members are of same status
- Clear-cut category boundary
- Object in higher level of hierarchy contains all the features from everything below
Problems with classical view (4)
- Not always easy to define features of category
- What is object has features shared by two categories?
- Typicality effect: not all members within category are of equal status
- Features of members not necessarily correlated with each other
Typicality effect
Prototype of category: categorized faster and more accurately, retrieved first, learned before other exemplars in category, highest similarity threshold
Probabilistic view
- Not all defining properties required
- Based on weight of certain critical properties
- Categorization determined by similarity threshold
Exemplar view
- Categorization based on similarity between exemplar (in memory) and category
- Allows for “fuzzy” boundaries
Example of concepts in classical view (defined with a set of features) (4)
- Physical state of object
- Even vs. Odd numbers
- Geometry figure
- Kinship systems
Categorization vs justification
- Judging by age–> perceptual features–> identification procedure
- Judging by defining feature (having a grandchild)–> core of concept
Category cohesiveness
Constraints for a category, to determine range, bad vs. good category, one feature implies the existence of another one
Constraints for a category
- Classical view: defining features (can be too broad)
- Probabilistic view: threshold category
- Exemplar view: lack of constraints
Cognitive economy
Everything can’t have it’s own category, but they can’t all be in the same category either
What level has the highest number of common features among members?
Basic level
Cue validity
How likely it is for a member of a category to possess a particular feature of an object (cue)
Holistic proceessing
Quick initial response, look at it as a whole
Factors affecting holistic vs. component processing in categorization
- Processing strategies
- Feature/component salience (most prominent features)
- Probability of feature being part of category
- Target category frequency
One major difference between person and object concept
Mutual exclusivity: objects within the same level can be mutually exclusive, person concept not mutually exclusive