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The Remote Associate Test (RAT) has been used for measuring creativity in humans. In this paper, the initial parts of a creative cognitive problem-solving framework are implemented to solve the RAT automatically using a knowledge base of language data extracted from the Corpus of Contemporary American English. The results provided by the computational RAT are compared to those obtained in previous RATs carried out on human participants in order to hyphotesize on an associationist creative cognition paradigm.
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