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Creative problem solving: A CLARION theory

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2 Author(s)
Sebastien Helie ; Psychology Department, University of California, Santa Barbara, 93106-9660 USA ; Ron Sun

Psychological theories of problem solving have largely focused on explicit processes that gradually bring the solver closer to the solution step-by-step in a mostly explicit and deliberative way. This approach to problem solving is typically inefficient or ineffective when the problem is too complex, ill-understood, or ambiguous. In such a case, a `creative' approach to problem solving might be more appropriate. We propose a computational psychological model implementing the Explicit-Implicit Interaction theory of creative problem solving (i.e., the CLARION theory of creative problem solving) that centers on the interaction of implicit and explicit processing. The model based on the CLARION theory has been used to simulate a variety of empirical psychological data sets.

Published in:

The 2010 International Joint Conference on Neural Networks (IJCNN)

Date of Conference:

18-23 July 2010