Literature DB >> 28675496

Knowing When Help Is Needed: A Developing Sense of Causal Complexity.

Jonathan F Kominsky1, Anna P Zamm2, Frank C Keil3.   

Abstract

Research on the division of cognitive labor has found that adults and children as young as age 5 are able to find appropriate experts for different causal systems. However, little work has explored how children and adults decide when to seek out expert knowledge in the first place. We propose that children and adults rely (in part) on "mechanism metadata," information about mechanism information. We argue that mechanism metadata is relatively consistent across individuals exposed to similar amounts of mechanism information, and it is applicable to a wide range of causal systems. In three experiments, we show that adults and children as young as 5 years of age have a consistent sense of the causal complexity of different causal systems, and that this sense of complexity is related to decisions about when to seek expert knowledge, but over development there is a shift in focus from procedural information to internal mechanism information.
Copyright © 2017 Cognitive Science Society, Inc.

Entities:  

Keywords:  Causal mechanisms; Cognitive Development; Deference; Explanation

Mesh:

Year:  2017        PMID: 28675496      PMCID: PMC5754261          DOI: 10.1111/cogs.12509

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


  36 in total

1.  Scientific knowledge suppresses but does not supplant earlier intuitions.

Authors:  Andrew Shtulman; Joshua Valcarcel
Journal:  Cognition       Date:  2012-05-16

2.  Causal learning mechanisms in very young children: two-, three-, and four-year-olds infer causal relations from patterns of variation and covariation.

Authors:  A Gopnik; D M Sobel; L E Schulz; C Glymour
Journal:  Dev Psychol       Date:  2001-09

3.  The intraclass correlation coefficient as a measure of reliability.

Authors:  J J Bartko
Journal:  Psychol Rep       Date:  1966-08

4.  Missing the trees for the forest: a construal level account of the illusion of explanatory depth.

Authors:  Adam L Alter; Daniel M Oppenheimer; Jeffrey C Zemla
Journal:  J Pers Soc Psychol       Date:  2010-09

5.  Causal Networks or Causal Islands? The Representation of Mechanisms and the Transitivity of Causal Judgment.

Authors:  Samuel G B Johnson; Woo-kyoung Ahn
Journal:  Cogn Sci       Date:  2015-01-03

6.  Young Children's Help-Seeking as Active Information Gathering.

Authors:  Christopher Vredenburgh; Tamar Kushnir
Journal:  Cogn Sci       Date:  2015-04-27

7.  Theory-based causal induction.

Authors:  Thomas L Griffiths; Joshua B Tenenbaum
Journal:  Psychol Rev       Date:  2009-10       Impact factor: 8.934

8.  What, when, and how about why: a longitudinal study of early expressions of causality.

Authors:  L Hood; L Bloom
Journal:  Monogr Soc Res Child Dev       Date:  1979

9.  Preschoolers' search for explanatory information within adult-child conversation.

Authors:  Brandy N Frazier; Susan A Gelman; Henry M Wellman
Journal:  Child Dev       Date:  2009 Nov-Dec

10.  Discerning the Division of Cognitive Labor: An Emerging Understanding of How Knowledge Is Clustered in Other Minds.

Authors:  Frank C Keil; Courtney Stein; Lisa Webb; Van Dyke Billings; Leonid Rozenblit
Journal:  Cogn Sci       Date:  2008-03-01
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  1 in total

1.  How causal information affects decisions.

Authors:  Min Zheng; Jessecae K Marsh; Jeffrey V Nickerson; Samantha Kleinberg
Journal:  Cogn Res Princ Implic       Date:  2020-02-13
  1 in total

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