Literature DB >> 11913753

Category variability, exemplar similarity, and perceptual classification.

A L Cohen1, R M Nosofsky, S R Zaki.   

Abstract

Experiments were conducted in which observers learned to classify simple perceptual stimuli into low-variability and high-variability categories. Similarities between objects were measured in independent psychological-scaling tasks. The results showed that observers classified transfer stimuli into the high-variability categories with greater probability than was predicted by a baseline version of an exemplar-similarity model. Qualitative evidence for the role of category variability on perceptual classification, which could not be explained in terms of the baseline exemplar-similarity model, was obtained as well. Possible accounts of the effects of category variability are considered in the General Discussion section.

Mesh:

Year:  2001        PMID: 11913753     DOI: 10.3758/bf03206386

Source DB:  PubMed          Journal:  Mem Cognit        ISSN: 0090-502X


  19 in total

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

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

2.  Tests of an exemplar model for relating perceptual classification and recognition memory.

Authors:  R M Nosofsky
Journal:  J Exp Psychol Hum Percept Perform       Date:  1991-02       Impact factor: 3.332

3.  Attention, similarity, and the identification-categorization relationship.

Authors:  R M Nosofsky
Journal:  J Exp Psychol Gen       Date:  1986-03

4.  Attention and learning processes in the identification and categorization of integral stimuli.

Authors:  R M Nosofsky
Journal:  J Exp Psychol Learn Mem Cogn       Date:  1987-01       Impact factor: 3.051

5.  Toward a universal law of generalization for psychological science.

Authors:  R N Shepard
Journal:  Science       Date:  1987-09-11       Impact factor: 47.728

6.  Similarity- versus rule-based categorization.

Authors:  E E Smith; S A Sloman
Journal:  Mem Cognit       Date:  1994-07

7.  Rule-plus-exception model of classification learning.

Authors:  R M Nosofsky; T J Palmeri; S C McKinley
Journal:  Psychol Rev       Date:  1994-01       Impact factor: 8.934

8.  Overall similarity and the identification of separable-dimension stimuli: a choice model analysis.

Authors:  R Nosofsky
Journal:  Percept Psychophys       Date:  1985-11

9.  Rules and exemplars in category learning.

Authors:  M A Erickson; J K Kruschke
Journal:  J Exp Psychol Gen       Date:  1998-06

10.  A neuropsychological theory of multiple systems in category learning.

Authors:  F G Ashby; L A Alfonso-Reese; A U Turken; E M Waldron
Journal:  Psychol Rev       Date:  1998-07       Impact factor: 8.934

View more
  7 in total

1.  Exemplar similarity, study list homogeneity, and short-term perceptual recognition.

Authors:  Robert M Nosofsky; Justin Kantner
Journal:  Mem Cognit       Date:  2006-01

Review 2.  Model-guided search for optimal natural-science-category training exemplars: A work in progress.

Authors:  Robert M Nosofsky; Craig A Sanders; Xiaojin Zhu; Mark A McDaniel
Journal:  Psychon Bull Rev       Date:  2019-02

3.  Training set coherence and set size effects on concept generalization and recognition.

Authors:  Caitlin R Bowman; Dagmar Zeithamova
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2020-02-27       Impact factor: 3.051

4.  Stimulus range and discontinuity effects on information-integration category learning and generalization.

Authors:  W Todd Maddox; J Vincent Filoteo
Journal:  Atten Percept Psychophys       Date:  2011-05       Impact factor: 2.199

5.  Effects of category diversity on learning, memory, and generalization.

Authors:  Ulrike Hahn; Todd M Bailey; Lucy B C Elvin
Journal:  Mem Cognit       Date:  2005-03

6.  Putting the psychology back into psychological models: mechanistic versus rational approaches.

Authors:  Yasuaki Sakamoto; Mattr Jones; Bradley C Love
Journal:  Mem Cognit       Date:  2008-09

7.  Category variability effect in category learning with auditory stimuli.

Authors:  Lee-Xieng Yang; Yueh-Hsun Wu
Journal:  Front Psychol       Date:  2014-10-02
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.