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Programmer and artists have invented a broad range of generative systems that create art and music. These powerful systems sometimes produce results that surprise their human collaborators, but the surprises are not always welcome or useful. Machine creativity needs a computational self-critical function that can guide generative systems toward valuable creative output.
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Philip Galanter (2012) studied this question.