Literature DB >> 22799283

Cognitive mechanisms of insight: the role of heuristics and representational change in solving the eight-coin problem.

Michael Öllinger1, Gary Jones, Amory H Faber, Günther Knoblich.   

Abstract

The 8-coin insight problem requires the problem solver to move 2 coins so that each coin touches exactly 3 others. Ormerod, MacGregor, and Chronicle (2002) explained differences in task performance across different versions of the 8-coin problem using the availability of particular moves in a 2-dimensional search space. We explored 2 further explanations by developing 6 new versions of the 8-coin problem in order to investigate the influence of grouping and self-imposed constraints on solutions. The results identified 2 sources of problem difficulty: first, the necessity to overcome the constraint that a solution can be found in 2-dimensional space and, second, the necessity to decompose perceptual groupings. A detailed move analysis suggested that the selection of moves was driven by the established representation rather than the application of the appropriate heuristics. Both results support the assumptions of representational change theory (Ohlsson, 1992).

Mesh:

Year:  2012        PMID: 22799283     DOI: 10.1037/a0029194

Source DB:  PubMed          Journal:  J Exp Psychol Learn Mem Cogn        ISSN: 0278-7393            Impact factor:   3.051


  17 in total

1.  The dynamics of search, impasse, and representational change provide a coherent explanation of difficulty in the nine-dot problem.

Authors:  Michael Öllinger; Gary Jones; Günther Knoblich
Journal:  Psychol Res       Date:  2013-05-25

2.  Quantifying insightful problem solving: a modified compound remote associates paradigm using lexical priming to parametrically modulate different sources of task difficulty.

Authors:  Maxi Becker; Gregor Wiedemann; Simone Kühn
Journal:  Psychol Res       Date:  2018-06-27

3.  The late parietal event-related potential component is hierarchically sensitive to chunk tightness during chunk decomposition.

Authors:  Zhonglu Zhang; Zheyi Lu; Christopher M Warren; Cuiliang Rong; Qiang Xing
Journal:  Cogn Neurodyn       Date:  2020-04-18       Impact factor: 5.082

Review 4.  Once more with feeling: Normative data for the aha experience in insight and noninsight problems.

Authors:  Margaret E Webb; Daniel R Little; Simon J Cropper
Journal:  Behav Res Methods       Date:  2018-10

5.  Sleep and incubation: Using problem reactivation during sleep to study forgetting fixation and unconscious processing during sleep incubation.

Authors:  Kristin E G Sanders; Mark Beeman
Journal:  J Cogn Psychol (Hove)       Date:  2021-03-27

Review 6.  Approaching the Distinction between Intuition and Insight.

Authors:  Zhonglu Zhang; Yi Lei; Hong Li
Journal:  Front Psychol       Date:  2016-08-09

7.  Can Contraries Prompt Intuition in Insight Problem Solving?

Authors:  Erika Branchini; Ivana Bianchi; Roberto Burro; Elena Capitani; Ugo Savardi
Journal:  Front Psychol       Date:  2016-12-26

8.  Intuition and Insight: Two Processes That Build on Each Other or Fundamentally Differ?

Authors:  Thea Zander; Michael Öllinger; Kirsten G Volz
Journal:  Front Psychol       Date:  2016-09-13

9.  Beliefs as Self-Sustaining Networks: Drawing Parallels Between Networks of Ecosystems and Adults' Predictions.

Authors:  Ramon D Castillo; Heidi Kloos; Michael J Richardson; Talia Waltzer
Journal:  Front Psychol       Date:  2015-11-12

10.  Pleasures of the Mind: What Makes Jokes and Insight Problems Enjoyable.

Authors:  Carla Canestrari; Erika Branchini; Ivana Bianchi; Ugo Savardi; Roberto Burro
Journal:  Front Psychol       Date:  2018-01-24
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