Extropy +6: Creative Thinking
How understanding our own minds and the ways that we solve problems will allow us to invent creative machines…
ScienceDaily (2010-12-02) — A mathematical model based on psychology theory allows computers to mimic human creative problem-solving, and provides a new roadmap to architects of artificial intelligence.
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.
Building on Wallas’ work, several disparate theories have since been advanced to explain the specific processes used by the human mind during the stages of incubation and insight. Competing theories propose that incubation — a period away from deliberative work — is a time of recovery from fatigue of deliberative work, an opportunity for the mind to work unconsciously on the problem, a time during which the mind discards false assumptions, or a time in which solutions to similar problems are retrieved from memory, among other ideas.
Each theory can be represented mathematically in artificial intelligence models. However, most models choose between theories rather than seeking to incorporate multiple theories and therefore they are fragmentary at best.
Sun and Hèlie’s Explicit-Implicit Interaction (EII) theory integrates several of the competing theories into a larger equation.