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Creators/Authors contains: "LeGris, S"

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  1. ; ; (, Cognitive Science Socieity)
    When people solve problems, they may try multiple invalid solutions before finally having an insight about the correct solution. Insight problem-solving is an example of the flexibility of the human mind which remains unmatched by machines. In this paper, we present a novel experimental paradigm for studying insight problem-solving behavior in a physical reasoning domain. Using this paradigm, we seek to quantify precisely what it means to have an insight during physical problem-solving and identify behavioral traces that predict subjective insight ratings collected from human participants. The project provides the first steps towards a computationally informed theory of insight problems solving. 
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