Prototype vs

Questions and Answers

Which view emphasizes total abstraction in category learning?

Mixed view

Exemplar view

Prototype view (correct)

Varying Abstraction Model (VAM)

What does the exemplar view emphasize in category learning?

High memory load

Partial abstraction

Zero abstraction (correct)

Total abstraction

Which model performs better on category learning tasks, suggesting the storage of concepts using an exemplar representation?

Varying Abstraction Model (VAM)

Generalized Context Model (GCM) (correct)

MDS-Based Prototype Model (MPM)

Mixed Model

What is the primary concern regarding the storage of every example of categories in memory?

Memory overload Signup and view all the answers

What do computational models for concepts and categories require assumptions about?

Data representation Signup and view all the answers

Which model suggests that some form of partial abstraction can describe empirical categorization decisions?

Varying Abstraction Model (VAM) Signup and view all the answers

What is the impact of level of abstraction on the quality of model predictions in some cases?

Little impact Signup and view all the answers

What do different models predict typicality based on?

Featural overlap and level of abstraction Signup and view all the answers

What do category learning experiments involve in terms of stimuli?

Easily manipulated stimuli Signup and view all the answers

What is involved in the third stage of category learning experiments?

Computational modeling of categorization decisions Signup and view all the answers

Which model simulates human performance on category learning tasks better, suggesting a mixed model may be more appropriate?

Mixed Model Signup and view all the answers

What does the Prototype view emphasize at the cost of losing specific information?

Total abstraction Signup and view all the answers

The prototype view suggests that people abstract out the central tendency of a category based on:

Experience with the category examples Signup and view all the answers

The exemplar view suggests that we store in memory every example of a given category that we encounter, emphasizing:

All the individual members of a category Signup and view all the answers

Conceptual representations are potentially useful because they provide a means of reducing the amount of data needed to be stored in memory. This statement is linked to the concept of:

Abstraction Signup and view all the answers

What is the major assumption of the prototype view?

Conceptual knowledge is stored in the form of an abstraction Signup and view all the answers

The exemplar view suggests that experience with a category doesn’t lead to the formation of an abstracted prototype, but rather:

We store in memory every example of a given category Signup and view all the answers

The prototype view is based on the idea that, on the basis of experience with the category examples, people:

Abstract out the central tendency of a category Signup and view all the answers

The exemplar view suggests that we store in memory every example of a given category that we encounter, rather than:

Abstracting out the central tendency of a category Signup and view all the answers

The prototype view emphasizes the abstraction of the central tendency of a category at the cost of:

Losing specific information Signup and view all the answers

The exemplar view emphasizes the storage of all the individual members of a category, at the potential cost of:

Overloading memory with excessive examples Signup and view all the answers

The primary concern regarding the storage of every example of categories in memory is:

Overloading memory with excessive examples Signup and view all the answers

The idea that conceptual knowledge is stored in the form of an abstraction is a major assumption of:

The prototype view Signup and view all the answers

Study Notes

Prototype vs. Exemplar Views in Category Learning

Prototype view emphasizes total abstraction, while exemplar view emphasizes zero abstraction
Prototype view reduces memory load but loses specific information, while exemplar view retains specific information at the cost of memory load
Plausibility issues raised regarding the storage of every example of categories in memory
Computational models for concepts and categories require assumptions about data representation
Different models predict typicality based on featural overlap and level of abstraction (prototype or exemplar)
Level of abstraction has little impact on the quality of model predictions in some cases
Category learning experiments use stimuli that are easily manipulated, with learning and transfer phases
Third stage of experiments involves computationally modeling categorization decisions and response latencies
Generalized Context Model (GCM) and MDS-Based Prototype Model (MPM) simulate human performance on category learning tasks
GCM performs better than MPM, suggesting storage of concepts using an exemplar representation
Question raised about using either exemplar or prototype representation, suggesting a mixed model may be more appropriate
Varying Abstraction Model (VAM) suggests some form of partial abstraction can describe empirical categorization decisions

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Description

Test your understanding of the differences between prototype and exemplar views in category learning with this quiz. Explore concepts such as memory load, computational models, typicality predictions, and experimental stages.