Psychological Review 117 (3):994-1024 (2010)
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..
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DOI | 10.1037/a0019532 |
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References found in this work BETA
Connectionism and Cognitive Architecture: A Critical Analysis.Jerry A. Fodor & Zenon W. Pylyshyn - 1988 - Cognition 28 (1-2):3-71.
Unconscious Cerebral Initiative and the Role of Conscious Will in Voluntary Action.Benjamin Libet - 1985 - Behavioral and Brain Sciences 8 (4):529-66.
Causality: Models, Reasoning and Inference.Judea Pearl - 2000 - Tijdschrift Voor Filosofie 64 (1):201-202.
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Citations of this work BETA
The AHA! Experience: Creativity Through Emergent Binding in Neural Networks.Paul Thagard & Terrence C. Stewart - 2011 - Cognitive Science 35 (1):1-33.
Conflict, Metacognition, and Analytic Thinking.Valerie A. Thompson & Stephen C. Johnson - 2014 - Thinking and Reasoning 20 (2):215-244.
Investigating the Structure of Semantic Networks in Low and High Creative Persons.Yoed N. Kenett, David Anaki & Miriam Faust - 2014 - Frontiers in Human Neuroscience 8.
Potential of full human–machine symbiosis through truly intelligent cognitive systems.Ron Sun - 2020 - AI and Society 35 (1):17-28.
View all 23 citations / Add more citations
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