Yosuke KinoeA, Hirohiko MoriB
A IBM Japan, Ltd., 1623-14, Shimotsuruma, Yamato-shi, Kanagawa, Japan.
B Musashi Institute of Technology, 1-28-1, Tamazutsumi, Setagaya, Tokyo, Japan.
Augmentation of creativity has recently become an important aspect of the design of computer-supported work (e.g. Edmonds, Fischer, et.al, 1995). The objective of this paper is to propose a new methodology for facilitating the processes whereby humans and computer systems develop new ideas collaboratively. This methodology is based on Distributed Genetic Programming (GP) ( Koza, 1992), an approach to program induction based on the mechanics of natural selection and natural genetics. We developed an experimental system with the aim of providing an intelligent environment that stimulates analysts to create new ideas by applying the methodology ( Kinoe, Mori, Sugita & Hayashi, 1997). This paper also introduces a practical study of idea development in which the methodology is used to discuss basic issues involved in supporting a creative process whereby humans and computer systems can create new ideas collaboratively.
In this methodology, the process of formulating new ideas can be divided into two different stages, analytical and creative ( Kinoe, Mori & Hayashi, 1993).
Analysts (i.e. users) prepare a starting set of ideas that may include, for example, hundreds of raw ideas gathered during a brainstorming session, observational findings, and ideas that have previously used for solving problems in other domains.