Literature DB >> 3629243

Toward a universal law of generalization for psychological science.

R N Shepard.   

Abstract

A psychological space is established for any set of stimuli by determining metric distances between the stimuli such that the probability that a response learned to any stimulus will generalize to any other is an invariant monotonic function of the distance between them. To a good approximation, this probability of generalization (i) decays exponentially with this distance, and (ii) does so in accordance with one of two metrics, depending on the relation between the dimensions along which the stimuli vary. These empirical regularities are mathematically derivable from universal principles of natural kinds and probabilistic geometry that may, through evolutionary internalization, tend to govern the behaviors of all sentient organisms.

Mesh:

Year:  1987        PMID: 3629243     DOI: 10.1126/science.3629243

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  296 in total

1.  Forming classes by stimulus frequency: behavior and theory.

Authors:  O Rosenthal; S Fusi; S Hochstein
Journal:  Proc Natl Acad Sci U S A       Date:  2001-03-20       Impact factor: 11.205

2.  Generalization of delayed matching to sample following training at different delays.

Authors:  R J Sargisson; K G White
Journal:  J Exp Anal Behav       Date:  2001-01       Impact factor: 2.468

3.  Effects of similarity and practice on speeded classification response times and accuracies: further tests of an exemplar-retrieval model.

Authors:  R M Nosofsky; L A Alfonso-Reese
Journal:  Mem Cognit       Date:  1999-01

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

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

5.  A multidimensional scaling approach to mental multiplication.

Authors:  Thomas L Griffiths; Michael L Kalish
Journal:  Mem Cognit       Date:  2002-01

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

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

7.  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

8.  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

9.  A single-system interpretation of dissociations between recognition and categorization in a task involving object-like stimuli.

Authors:  S R Zaki; R M Nosofsky
Journal:  Cogn Affect Behav Neurosci       Date:  2001-12       Impact factor: 3.282

10.  Multiple learning parameters differentially regulate olfactory generalization.

Authors:  Thomas A Cleland; Venkata Anupama Narla; Karim Boudadi
Journal:  Behav Neurosci       Date:  2009-02       Impact factor: 1.912

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