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The underlying hypothesis of this paper is that the rigor needed to build computational design creativity systems will produce insights that will increase our understanding of creativity. The paper points to a variety of factors that will need to be studied and understood in detail in order to build such systems. It examines selected technical literature about creativity to determine what key characteristics have been proposed as underlying creative production. In addition, as the existence of creativity is a judgment relative to personal or group norms, it is helpful to understand what factors inform that judgment. Besemer's creative product semantic scale for product assessment provides three dimensions, with nine attributes that can be used for judgments. This paper discusses how creative product assessment scales might provide important clues about how to build computational systems in order to produce creative products.
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David C. Brown (2013) studied this question.
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