Literature DB >> 9557382

Alternative strategies of categorization.

E E Smith1, A L Patalano, J Jonides.   

Abstract

Psychological studies of categorization often assume that all concepts are of the same general kind, and are operated on by the same kind of categorization process. In this paper, we argue against this unitary view, and for the existence of qualitatively different categorization processes. In particular, we focus on the distinction between categorizing an item by: (a) applying a category-defining rule to the item vs. (b) determining the similarity of that item to remembered exemplars of a category. We begin by characterizing rule application and similarity computations as strategies of categorization. Next, we review experimental studies that have used artificial categories and shown that differences in instructions or time pressure can lead to either rule-based categorization or similarity-based categorization. Then we consider studies that have used natural concepts and again demonstrated that categorization can be done by either rule application or similarity calculations. Lastly, we take up evidence from cognitive neuroscience relevant to the rule vs. similarity issue. There is some indirect evidence from brain-damaged patients for neurological differences between categorization based on rules vs. that based on similarity (with the former involving frontal regions, and the latter relying more on posterior areas). For more direct evidence, we present the results of a recent neuroimaging experiment, which indicates that different neural circuits are involved when people categorize items on the basis of a rule as compared with when they categorize the same items on the basis of similarity.

Entities:  

Mesh:

Year:  1998        PMID: 9557382     DOI: 10.1016/s0010-0277(97)00043-7

Source DB:  PubMed          Journal:  Cognition        ISSN: 0010-0277


  57 in total

1.  A hybrid model of categorization.

Authors:  J R Anderson; J Betz
Journal:  Psychon Bull Rev       Date:  2001-12

2.  The effects of concurrent task interference on category learning: evidence for multiple category learning systems.

Authors:  E M Waldron; F G Ashby
Journal:  Psychon Bull Rev       Date:  2001-03

3.  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

4.  PET evidence for multiple strategies of categorization.

Authors:  A L Patalano; E E Smith; J Jonides; R A Koeppe
Journal:  Cogn Affect Behav Neurosci       Date:  2001-12       Impact factor: 3.282

Review 5.  On the nature of implicit categorization.

Authors:  F G Ashby; E M Waldron
Journal:  Psychon Bull Rev       Date:  1999-09

6.  Procedural learning in perceptual categorization.

Authors:  F Gregory Ashby; Shawn W Ell; Elliott M Waldron
Journal:  Mem Cognit       Date:  2003-10

7.  Observational versus feedback training in rule-based and information-integration category learning.

Authors:  F Gregory Ashby; W Todd Maddox; Corey J Bohil
Journal:  Mem Cognit       Date:  2002-07

Review 8.  A knowledge-resonance (KRES) model of category learning.

Authors:  Bob Rehder; Gregory L Murphy
Journal:  Psychon Bull Rev       Date:  2003-12

9.  Disrupting feedback processing interferes with rule-based but not information-integration category learning.

Authors:  W Todd Maddox; F Gregory Ashby; A David Ing; Alan D Pickering
Journal:  Mem Cognit       Date:  2004-06

10.  Typicality mediates performance during category verification in both ad-hoc and well-defined categories.

Authors:  Chaleece Sandberg; Rajani Sebastian; Swathi Kiran
Journal:  J Commun Disord       Date:  2011-12-22       Impact factor: 2.288

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.