Chapter 8 Flashcards
Concept
Mental representation of an object, event or idea
Categories
Clusters of interrelated concepts
Rule based categorization
Categorizing objects or events according to
-rules
-features
Comparison based categorization
Prototype-Mental representation of an average category member
Exemplar-Specific (real) example best representing category
Graded membership-some concepts make better category members than others
Semantic Networks
Interconectes set of nodes(concepts)
Joined by links to form a category
Reaction time can be used to test hierarchal organization, connectedness of networks
Priming
Activation of individual concepts in LTM
Can influence which concepts/categories are referenced
Basic Level Categories
Level prototypes exist
Experience and categorization
Our experiences help us compare and categorize stimuli quickly and accurately
Can lead to bias
The brain and categorization
Temporal lobe damage: difficulty identifying objects, while still able to describe object features
Category Specific Visual Agnosia: Difficulty identifying stimuli from a specific category
> suggests specialized networks for small group of categories important for evolutionary success
Culture and categorization
Folk Biology: How the natural world is conceptualized and categorized differently across cultures
(Basic level categories differ across cultures)
Cross cultural differences in perceived relation between objects
(NA single object characteristics, Japan object in relation to environment)
Problem solving
Accomplishing a goal when solution or path to solution is not clear
Algorithms
Problem solving strategies based on series of rules
Heuristics
Problem solving strategies using prior knowledge to make educated guesses
Mental Set
Cognitive obstacle occurring when trying to solve new problem with routine incorrect solution
Functional Fixedness: identifying an object or technique to solve a problem but only thinking or most obvious function
Conjunction Fallacy
Belied that finding a specific member in 2 overlapping categories is more likely than in one larger general category
Representativeness Heuristic
Making judgements of likelihood based on how well example represents specific category