Literature DB >> 11716056

Putting together prior knowledge, verbal arguments, and observations in category learning.

E Heit1.   

Abstract

Two experiments addressed the novel issue of how people incorporate verbal arguments into category learning. In Experiment 1, at the start of learning, subjects were given verbal arguments, which had an influence equivalent to a fixed number of category members. In Experiment 2, subjects learned under slower paced conditions, and it was found that both prior knowledge and arguments had multiple effects on categorization: a fixed initial influence plus selective weighting of new observations. The results supported the idea that verbally presented arguments can be treated in a similar manner as other forms of prior knowledge, from the perspective of applying models of categorization.

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Year:  2001        PMID: 11716056     DOI: 10.3758/bf03196412

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


  6 in total

1.  Tales of the unexpected: executive function and person perception.

Authors:  C N Macrae; G V Bodenhausen; A M Schloerscheidt; A B Milne
Journal:  J Pers Soc Psychol       Date:  1999-02

2.  Category learning with minimal prior knowledge.

Authors:  A S Kaplan; G L Murphy
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2000-07       Impact factor: 3.051

3.  The role of background knowledge in speeded perceptual categorization.

Authors:  T J Palmeri; C Blalock
Journal:  Cognition       Date:  2000-11-16

4.  Influences of prior knowledge on selective weighting of category members.

Authors:  E Heit
Journal:  J Exp Psychol Learn Mem Cogn       Date:  1998-05       Impact factor: 3.051

5.  Knowledge structures and linear separability: integrating information in object and social categorization.

Authors:  W D Wattenmaker
Journal:  Cogn Psychol       Date:  1995-06       Impact factor: 3.468

6.  Models of the effects of prior knowledge on category learning.

Authors:  E Heit
Journal:  J Exp Psychol Learn Mem Cogn       Date:  1994-11       Impact factor: 3.051

  6 in total

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