Literature DB >> 9038245

Categorization and reasoning among tree experts: do all roads lead to Rome?

D L Medin1, E B Lynch, J D Coley, S Atran.   

Abstract

To what degree do conceptual systems reflect universal patterns of featural covariation in the world (similarity) or universal organizing principles of mind, and to what degree do they reflect specific goals, theories, and beliefs of the categorizer? This question was addressed in experiments concerned with categorization and reasoning among different types of tree experts (e.g., taxonomists, landscape workers, parks maintenance personnel). The results show an intriguing pattern of similarities and differences. Differences in sorting between taxonomists and maintenance workers reflect differences in weighting of morphological features. Landscape workers, in contrast, sort trees into goal-derived categories based on utilitarian concerns. These sorting patterns carry over into category-based reasoning for the taxonomists and maintenance personnel but not the landscape workers. These generalizations interact with taxonomic rank and suggest that the genus (or folk generic) level is relatively and in some cases absolutely privileged. Implications of these findings for theories of categorization are discussed.

Mesh:

Year:  1997        PMID: 9038245     DOI: 10.1006/cogp.1997.0645

Source DB:  PubMed          Journal:  Cogn Psychol        ISSN: 0010-0285            Impact factor:   3.468


  37 in total

1.  The effects of category use on learned categories.

Authors:  B H Ross
Journal:  Mem Cognit       Date:  2000-01

2.  Tall is typical: central tendency, ideal dimensions, and graded category structure among tree experts and novices.

Authors:  E B Lynch; J D Coley; D L Medin
Journal:  Mem Cognit       Date:  2000-01

Review 3.  Properties of inductive reasoning.

Authors:  E Heit
Journal:  Psychon Bull Rev       Date:  2000-12

4.  An inverse base rate effect with continuously valued stimuli.

Authors:  M L Kalish
Journal:  Mem Cognit       Date:  2001-06

5.  A further investigation of category learning by inference.

Authors:  Amy L Anderson; Brian H Ross; Seth Chin-Parker
Journal:  Mem Cognit       Date:  2002-01

6.  Impact of varying levels of expertise on decisions of category typicality.

Authors:  K E Johnson
Journal:  Mem Cognit       Date:  2001-10

7.  An apple is more than just a fruit: cross-classification in children's concepts.

Authors:  Simone P Nguyen; Gregory L Murphy
Journal:  Child Dev       Date:  2003 Nov-Dec

8.  The multifaceted nature of unsupervised category learning.

Authors:  Bradley C Love
Journal:  Psychon Bull Rev       Date:  2003-03

9.  Effects of classification context on categorization in natural categories.

Authors:  James A Hampton; Danièle Dubois; Wenchi Yeh
Journal:  Mem Cognit       Date:  2006-10

10.  Classifying foods in contexts: how adults categorize foods for different eating settings.

Authors:  C E Blake; C A Bisogni; J Sobal; C M Devine; M Jastran
Journal:  Appetite       Date:  2007-03-23       Impact factor: 3.868

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