Literature DB >> 32419146

Developmental Changes in Strategies for Gathering Evidence About Biological Kinds.

Emily Foster-Hanson1, Kelsey Moty1, Amanda Cardarelli1, John Daryl Ocampo1, Marjorie Rhodes1.   

Abstract

How do people gather samples of evidence to learn about the world? Adults often prefer to sample evidence from diverse sources-for example, choosing to test a robin and a turkey to find out if something is true of birds in general. Children below age 9, however, often do not consider sample diversity, instead treating non-diverse samples (e.g., two robins) and diverse samples as equivalently informative. The current study (N = 247) found that this discontinuity stems from developmental changes in standards for evaluating evidence-younger children chose to learn from samples that best approximate idealized views of what category members are supposed to be like (e.g., the fastest cheetahs), with a gradual shift across age toward samples that cover more within-category variation (e.g., cheetahs of varying speeds). These findings have implications for the relation between conceptual structure and inductive reasoning, and for the mechanisms underlying inductive reasoning more generally.
© 2020 Cognitive Science Society, Inc.

Entities:  

Keywords:  Biological kinds; Category induction; Conceptual development; Diversity-based reasoning; Ideals

Year:  2020        PMID: 32419146      PMCID: PMC7427470          DOI: 10.1111/cogs.12837

Source DB:  PubMed          Journal:  Cogn Sci        ISSN: 0364-0213


  52 in total

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

2.  It's in the sample: the effects of sample size and sample diversity on the breadth of inductive generalization.

Authors:  Chris A Lawson; Anna V Fisher
Journal:  J Exp Child Psychol       Date:  2011-08-03

3.  Ideals and category typicality.

Authors:  ShinWoo Kim; Gregory L Murphy
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2011-09       Impact factor: 3.051

4.  Diversity effect in category-based inductive reasoning of young children: evidence from two methods.

Authors:  Luojin Zhong; Myung Sook Lee; Yulan Huang; Lei Mo
Journal:  Psychol Rep       Date:  2014-02

5.  Selective sampling and inductive inference: Drawing inferences based on observed and missing evidence.

Authors:  Brett K Hayes; Stephanie Banner; Suzy Forrester; Danielle J Navarro
Journal:  Cogn Psychol       Date:  2019-06-11       Impact factor: 3.468

6.  Young children use statistical sampling to infer the preferences of other people.

Authors:  Tamar Kushnir; Fei Xu; Henry M Wellman
Journal:  Psychol Sci       Date:  2010-07-09

7.  Functions in biological kind classification.

Authors:  Tania Lombrozo; Bob Rehder
Journal:  Cogn Psychol       Date:  2012-08-09       Impact factor: 3.468

8.  Why are rocks pointy? Children's preference for teleological explanations of the natural world.

Authors:  D Kelemen
Journal:  Dev Psychol       Date:  1999-11

9.  Professional physical scientists display tenacious teleological tendencies: purpose-based reasoning as a cognitive default.

Authors:  Deborah Kelemen; Joshua Rottman; Rebecca Seston
Journal:  J Exp Psychol Gen       Date:  2012-10-15

10.  The human function compunction: teleological explanation in adults.

Authors:  Deborah Kelemen; Evelyn Rosset
Journal:  Cognition       Date:  2009-02-05
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  1 in total

1.  Categories convey prescriptive information across domains and development.

Authors:  Emily Foster-Hanson; Steven O Roberts; Susan A Gelman; Marjorie Rhodes
Journal:  J Exp Child Psychol       Date:  2021-08-03
  1 in total

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