Literature DB >> 20658861

Incubation, insight, and creative problem solving: a unified theory and a connectionist model.

Sébastien Hélie1, Ron Sun.   

Abstract

This article proposes a unified framework for understanding creative problem solving, namely, the explicit-implicit interaction theory. This new theory of creative problem solving constitutes an attempt at providing a more unified explanation of relevant phenomena (in part by reinterpreting/integrating various fragmentary existing theories of incubation and insight). The explicit-implicit interaction theory relies mainly on 5 basic principles, namely, (a) the coexistence of and the difference between explicit and implicit knowledge, (b) the simultaneous involvement of implicit and explicit processes in most tasks, (c) the redundant representation of explicit and implicit knowledge, (d) the integration of the results of explicit and implicit processing, and (e) the iterative (and possibly bidirectional) processing. A computational implementation of the theory is developed based on the CLARION cognitive architecture and applied to the simulation of relevant human data. This work represents an initial step in the development of process-based theories of creativity encompassing incubation, insight, and various other related phenomena. (c) 2010 APA, all rights reserved.

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Mesh:

Year:  2010        PMID: 20658861     DOI: 10.1037/a0019532

Source DB:  PubMed          Journal:  Psychol Rev        ISSN: 0033-295X            Impact factor:   8.934


  31 in total

1.  Don't wait to incubate: immediate versus delayed incubation in divergent thinking.

Authors:  Kenneth J Gilhooly; George J Georgiou; Jane Garrison; Jon D Reston; Miroslav Sirota
Journal:  Mem Cognit       Date:  2012-08

Review 2.  A matched filter hypothesis for cognitive control.

Authors:  Evangelia G Chrysikou; Matthew J Weber; Sharon L Thompson-Schill
Journal:  Neuropsychologia       Date:  2013-11-05       Impact factor: 3.139

3.  Interrupted: The roles of distributed effort and incubation in preventing fixation and generating problem solutions.

Authors:  Ut Na Sio; Kenneth Kotovsky; Jonathan Cagan
Journal:  Mem Cognit       Date:  2017-05

4.  Computational modeling of epiphany learning.

Authors:  Wei James Chen; Ian Krajbich
Journal:  Proc Natl Acad Sci U S A       Date:  2017-04-17       Impact factor: 11.205

Review 5.  Contributions of modern network science to the cognitive sciences: revisiting research spirals of representation and process.

Authors:  Nichol Castro; Cynthia S Q Siew
Journal:  Proc Math Phys Eng Sci       Date:  2020-06-10       Impact factor: 2.704

6.  Creativity on tap? Effects of alcohol intoxication on creative cognition.

Authors:  Mathias Benedek; Lisa Panzierer; Emanuel Jauk; Aljoscha C Neubauer
Journal:  Conscious Cogn       Date:  2017-07-10

7.  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 8.  Human creativity, evolutionary algorithms, and predictive representations: The mechanics of thought trials.

Authors:  Arne Dietrich; Hilde Haider
Journal:  Psychon Bull Rev       Date:  2015-08

9.  A scenario for writing creative scenarios.

Authors:  Michael D Murphy; Don R Day
Journal:  Socioecol Pract Res       Date:  2021-06-07

10.  How and to what end may consciousness contribute to action? Attributing properties of consciousness to an embodied, minimally cognitive artificial neural network.

Authors:  Holk Cruse; Malte Schilling
Journal:  Front Psychol       Date:  2013-06-18
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