Chapter 8 Flashcards
Concepts
metal representations of specific objects, events, or ideas (apply pie, cherry pie)
Categories
larher group of concepts based on their similarity to one another (pies)
Classical categorization approach
we grip together objects and events into categories because they share common defining features
Graded membership
some members are better representatives than others
Sentence verification technique
experiment asking true or false like a “robin is a bird’ people are faster to say yes than if asked a “penguin is a bird”
Prototype
the average of all members of a category (seeing motorcycle unlike one you have seen before but knowing it is still a motorcycle)
Semontic network
connection to similar concepts will be closer than ones with dissimilar concepts
Top level of semontic network
superordinate level
Bottom level of semontic network
subordinate level
Middle of semontic network
basic
Linguistic relativity (whorfran hypothesis)
Idea that differences in languages between cultures change the way members of those cultures actually perceive the world
2 routes to problem solving, judgments and decision making
- algorithm
- heuristics
Algorithm
slow, logical and step by step solution to a problem based on a set of rules
Heuristics
relying on past experience to make a quick and reasonable guess as to the problems solution
Cognitive obstacles
when you can’t think of the normal solution (nine dot obstacle)
Functional fixedness
tendency to treat objects as only serving one function
Representation heuristic
assumption that all members of a category share the same features based on ones experience with only a small number of category members (meeting a jon thinking he is rude then judging jobs based on that)
Base rates
same group of people that do a certain thing will be smaller than the group of people that dont
Conjunction fallacy
failure to appreciate that the probability of two events occurring together must be lower than the probability of either of those events occurring alone
The availability heuristic
making judgements about the frequency with which events occur based on how easy it is for us to think of examples
The anchoring effect
restrictions in a persons numerical judgements based solely on their exposure to same number
High number in anchoring effect =
high estimate
Low number in anchoring effect =
low estimate
Framing effects
when the mere wording of a question has a biasing influence on our judgements or decision making