Literature DB >> 6242730

Choice, similarity, and the context theory of classification.

R M Nosofsky.   

Abstract

Medin and Schaffer's (1978) context theory of classification learning is interpreted in terms of Luce's (1963) choice theory and in terms of theoretical results obtained in multidimensional scaling theory. En route to this interpretation, quantitative relationships that may exist between identification and classification performance are investigated. It is suggested that the same basic choice processes may operate in the two paradigms but that the similarity parameters that determine performance change systematically according to the structure of the choice paradigm. In particular, when subjects are able to attend selectively to the component dimensions that compose the stimuli, the similarity parameters may tend toward what is optimal for maximizing performance.

Entities:  

Mesh:

Year:  1984        PMID: 6242730     DOI: 10.1037//0278-7393.10.1.104

Source DB:  PubMed          Journal:  J Exp Psychol Learn Mem Cogn        ISSN: 0278-7393            Impact factor:   3.051


  111 in total

1.  Predicting conjunction typicalities by component typicalities.

Authors:  G Storms; P De Boeck; J A Hampton; I Van Mechelen
Journal:  Psychon Bull Rev       Date:  1999-12

2.  Exemplar-based accounts of "multiple-system" phenomena in perceptual categorization.

Authors:  R M Nosofsky; M K Johansen
Journal:  Psychon Bull Rev       Date:  2000-09

3.  Category variability, exemplar similarity, and perceptual classification.

Authors:  A L Cohen; R M Nosofsky; S R Zaki
Journal:  Mem Cognit       Date:  2001-12

4.  Consistent contrast aids concept learning.

Authors:  D Billman; D Dávila
Journal:  Mem Cognit       Date:  2001-10

5.  Single-system models and interference in category learning: commentary on Waldron and Ashby (2001).

Authors:  Robert M Nosofsky; John K Kruschke
Journal:  Psychon Bull Rev       Date:  2002-03

6.  Extending the ALCOVE model of category learning to featural stimulus domains.

Authors:  Michael D Lee; Daniel J Navarro
Journal:  Psychon Bull Rev       Date:  2002-03

7.  Traps in the route to models of memory and decision.

Authors:  W K Estes
Journal:  Psychon Bull Rev       Date:  2002-03

8.  Fruits and vegetables categorized: an application of the generalized context model.

Authors:  Tim Smits; Gert Storms; Yves Rosseel; Paul De Boeck
Journal:  Psychon Bull Rev       Date:  2002-12

9.  Comparisons between exemplar similarity and mixed prototype models using a linearly separable category structure.

Authors:  Roger D Stanton; Robert M Nosofsky; Safa R Zaki
Journal:  Mem Cognit       Date:  2002-09

10.  How do people solve the "weather prediction" task?: individual variability in strategies for probabilistic category learning.

Authors:  Mark A Gluck; Daphna Shohamy; Catherine Myers
Journal:  Learn Mem       Date:  2002 Nov-Dec       Impact factor: 2.460

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.