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- W1524255068 abstract "Augmentation of creativity has recently become an important aspect in the design of computer-supported work. In this paper, we propose a methodology for stimulating analysts to formulate new ideas. In particular, we shed light on a process for discovering previously unknown relationships among existing ideas. To support the methodology, we have developed an experimental system that is intended to provide an intelligent support environment. This system is based on the Genetic Algorithm. This methodology was effective for stimulating analysts to expand their perspectives on the central issues. Analysts tried to formulate new ideas by discovering previously unknown combinations of ideas. One unique feature of the methodology is a process whereby analysts and a computer system can develop new ideas collaboratively." @default.
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- W1524255068 date "1995-01-01" @default.
- W1524255068 modified "2023-10-06" @default.
- W1524255068 title "Toward augmented creativity: intelligent support for discovering latent relationships among ideas" @default.
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- W1524255068 doi "https://doi.org/10.1016/s0921-2647(06)80111-5" @default.
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