Work

Unifying rational models of categorization via the hierarchical Dirichlet process

Year: 2009

Type: book-chapter

Abstract: Models of categorization make different representational assumptions, with categories being represented by prototypes, sets of exemplars, and everything in between. Rational models of categorization justify these representational assumptions in terms of different schemes for estimating probability distributions. However, they do not answer the question of which scheme should be used in representing a given category. We show that existing rational models of categorization are special cases of a statistical model called the hierarchical Dirichlet process, which can be used to automatically infer a representation of the appropriate complexity for a given category.

Source: Warwick Research Archive Portal (University of Warwick)

DOI: 10.82444/warw.33600544

Authors: Tom Griffiths, Kevin Canini, Adam N Sanborn, Danielle Navarro

Institutions: University of California, Berkeley, Indiana University, The University of Adelaide

Language: English

Topic: Categorization, perception, and language

Subfield: Experimental and Cognitive Psychology

Field: Psychology

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W1580018148

FWCI: 32.14

Cites: 15

Cited by: 80

Related to: 10