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For example, some of these insight problems could be solved in non-insightful ways [45] yet still with the "Aha!" [54].
At first, the meditator couldn't solve any of the insight problems.
And there's another problem, too: the answers to insight problems, which are one of the main things we can study, sometimes come from forces that are entirely mundane.
Meanwhile, in a study published last year, German researchers found that people with schizotypy a mental condition that resembles schizophrenia, albeit with far less severe symptoms were significantly better at solving insight problems than a control group.
Meanwhile, in a study published last year, German researchers found that people with schizotypy — a mental condition that resembles schizophrenia, albeit with far less severe symptoms — were significantly better at solving insight problems than a control group.
The remote associate items were positively correlated to the Divergent Thinking Test and the insight problems task, but the close associate items were not related to these tasks.
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Yet in an authoritative review of the research, the psychologists Jonathan W. Schooler and Joseph Melcher concluded that the abilities most strongly correlated with insight problem-solving "were not significantly correlated" with solving analytical problems.
To test the model in a physical environment, we implemented it in a vision-equipped robot, and the model solved the same insight problem from camera percepts.
We address these aims by (a) modeling an example of insight problem solving and comparing it to empirical data, and (b) testing the model on a robot platform.
Importantly, the kind of insight problem solving paradigm we used (and, arguably, any insight problem solving) involves several neural networks.
We have proposed elsewhere that insight problem solving may require heuristic search by natural selection [52].
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