“A dealer in antique coins gets an offer to buy a beautiful bronze coin. The coin has an emperor’s head on one side and the date “544 B.C.” stamped on the other. The dealer examines the coin, but instead of buying it, he calls the police. Why?
Solving this “insight problem” requires creativity, a skill at which humans excel (the coin is a fake — “B.C.” and Arabic numerals did not exist at the time) and computers do not. Now, 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 the new “Explicit-Implicit Interaction Theory,” recently introduced in an article in Psychological Review, could be used for future artificial intelligence.
“As a psychological theory, this theory pushes forward the field of research on creative problem solving and offers an explanation of the human mind and how we solve problems creatively,” Sun said. “But this model can also be used as the basis for creating future artificial intelligence programs that are good at solving problems creatively.”"
Read more at Science Daily
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