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New psychology theory enables computers to mimic human creativity
A new explanation of how humans solve problems creatively — including the mathematical formulations for facilitating the incorporation of the theory in artificial intelligence programs — provides a roadmap to building systems that perform like humans at the task.
Ron Sun, Rensselaer Polytechnic Institute professor of cognitive science, said a new “Explicit-Implicit Interaction Theory” could be used for future artificial intelligence. The paper, titled “Incubation, Insight, and Creative Problem Solving: A Unified Theory and a Connectionist Model,” by Sun and Sèbastien Hèlie of University of California, Santa Barbara, appeared in the July edition of Psychological Review.
Discussion of the theory is accompanied by mathematical specifications for the “CLARION” cognitive architecture – a computer program developed by Sun’s research group to act like a cognitive system

Explicit-Implicit Interaction theory is the most recent advance on a well-regarded outline of creative problem solving known as “Stage Decomposition,” developed by Graham Wallas in his seminal 1926 book “The Art of Thought.” According to stage decomposition, humans go through four stages — preparation, incubation, insight (illumination), and verification — in solving problems creatively.
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By 2018, supercomputers could operate 100 times faster than the human brain