Concept maps Flashcards
Classical theory of categorization
Prior history
- Disjunctive concpets (which require at least 1 attribute is present), which are the rarest are also the hardest to learn
Classical theory of categorization
Main claim
Categories are defined by a set of features that are individually necessary and jointly sufficient for category membership
Classical theory of categorization
Competing theory and how it differs
- Prototype theory - the set of features are characteristic and not defining
- Explains the typicality effect
Classical theory of categorization
Data undermining the theory
- People agree that cars seats are chairs, whcih are furniture, but car seats are not furniture
- The Typicality effects
Classical theory of categorization
Major weakness
- It is impossible to define the necessary and sufficient features for some categories
- Strict hierachy doesn’t always exist
Classical theory of categorization
Similar theory and one of its features
Essentialism: Both theories state that there are immutable characteristics that define a category and those features are not dependent on context
Classical theory of categorization
2 characteristic features
- Category membership is binary
- Concpets can be organized in a hierachy of inclusion relations
Exemplar/instance-based theory
Prior history
Prototype theory
Exemplar/instance-based theory
Main claim
Category membership depends on similarity to a set of stored exemplars
Exemplar/instance-based theory
Competing theory
Classical theory - Does not depend on similarities but specific features that have to be present
Exemplar/instance-based theory
Data supporting the theory
- Participantssay more often that a 18-inch object is a pizza than a ruler because rulers usually don’t vary in size but pizzas do
- A prototype would be insufficient because both have the same average size
Exemplar/instance-based theory
Major strenght of the theory
Can explain typicality effects
Exemplar/instance-based theory
Similar theory and one major feature
Prototype theory: Both theories state that categorization is based on similarity
Exemplar/instance-based theory
2 characteristic features
- Many exemplars for each category are stored in memory
- Objects are matched in parallel with all stored instances to compute similarity
Protoype theory
Prior history
Classical theory
Protoype theory
Main claim
Category membership depends on similarity to a prototype, which is the most typical member of the category
Protoype theory
Competing theory and how it differs
Classical theory: Assumes binary category membership
Protoype theory
Data supporting the theory
- Objects more similar to the prototype get identified faster
- People tend to list characteristics, not defining features, of categories
Protoype theory
Major weakness
- Some abstract concepts do not show prototype structure
- The theory assumes people use only fairly superficial features, but they may use more central ones instead
Protoype theory
Similar theory and major features
Exemplar-based theory: Both theories state that categorization is based on similarity
Protoype theory
2 characteristic features
- The features of a prototype are characteristic, not necessary
- Category boundaries are fizzy, not absolute
Explanation-based theory
Prior history
Exemplar-based theory
Explanation-based theory
Main claim
To categorize objects, people use common-sense explanations, motivated by their intuitive theories about the world
Explanation-based theory
Data suporting the theory
- The Dyirbal aboriginal tribe classifies nouns into meaningful categories, which are neither rule- nor similarity-based. They are knowledge based
Explanation-based theory
Major strength
- Explains why classification can vary between contexts - different attributes (central or superficial) will be used
- Explains why some concepts seem natural and others not - for the former an explanatory theory or theories can be found
Explanation-based theory
Similar theory and one of its features
Exemplar-based theory: Both theories rely on stored information about objects from past experiences
Explanation-based theory
2 charcteristic features
- The common-sense explanations specify what attributes are used (superficial or central)
- Concepts are not isolated from knowledge
Essentialism
Prior history
Prototype theory
Essentialism
Main claim
Objects belong to categories due to having essential, inherent features that define them
Essentialism
Competing theory and how it differs
Prototype theory: Assumes that superficial attributes are used for categorization
Essentialism
Data supporting the theory
Students with non-essentialist beliefs have higher thresholds for categorizing biracial faces as white
Essentialism
Application
Can be applied to explain race essentialism, genetic essentialism and gender/sexual-orientation views
Essentialism
Similar theory and one of its features
Classical theory: Both see categories as immutable
Essentialism
2 characteristic features
- Deep, essential, immutable attributes define an objects features
- Causal relations are emphazised, instead of similarities
Representional Change theory
Prior history
Gestalt theory, extended by this theory
Representional Change theory
Main claim
Initially, a problem is represented mentally. After that an unconcious search for mental operators leads to the selection of the most strongly activated operator
Representional Change theory
Competing theory and how it differs
Problem space hypothesis: Assumes problems are solved by moving from initial to goal state
Representional Change theory
Data supporting the theory
In the Roman matchstick numeral problem, peoples initial representation introduces unneccesary contraints that reduce performance
Representional Change theory
Major Weakness
Underestimates the range of strategies used to solve insight problems
Representional Change theory
Similar theory and one of its features
Mental model theory: Both discuss how behavior is guided by mental representations (rather than by cognitive processes)
Representional Change theory
2 characteristic features
- An impasse can be overcome by constraint relaxation, elaboration or re-encoding
- The process representation change to search to impasse is a cycle
Gestalt Approach to Problem Solving
Prior history
Gestaltists dominated the early research on problem solving
Gestalt Approach to Problem Solving
Main claim
Novel/ill-defined problems are solved using insight
Gestalt Approach to Problem Solving
Competing theory and how it differs
Problem space hypothesis: Problems are solved gradually by moving from the initial to the goal state
Gestalt Approach to Problem Solving
Data supporting the theory
- Self-reports of warmth progressively increase during non-insight problems, and suddenly in insight problems
Gestalt Approach to Problem Solving
Major weakness
Assumes that insight always produces correct solutions, but this is false
Gestalt Approach to Problem Solving
Similar theory and one of its features
Representional Change Theory: Both theories assume that insight occurs after a change in the mental representation of a problem
Gestalt Approach to Problem Solving
2 characteristic features
- Special-process viewpoint: Insight is fundamentally different from other cognitive processes
- Insight involves a restructering of the problems mental representation
Problem space theory
Prior history
Identified the hill climbing and means-end analysis heuristics
Problem space theory
Main claim
Problems are solved by starting from an initial state and aiming to reach the goal state by using different mental operations
Problem space theory
Competing theory and how it differs
Representional change theory: Assumes problem solving is facilitated by insight moments based on representional changes
Problem space theory
Data supporting the theory
People engage in limited planning during Towers of Hanoi due to limited WM capacity