Propagating Figures

• Main Authors: Wang Tsung-Hsien, 王聰憲
• Other Authors: Liu Yu-Tung
• Format: Others
• Language: en_US
• Online Access: http://ndltd.ncl.edu.tw/handle/2mj3p2

碩士 === 國立交通大學 === 建築研究所 === 92 === A cognitive phenomenon, emergent subshapes, has been examined extensively in the last decade. From the cognitive perspective, “emergent subshapes” plays the important role in developing the design, and this phenomenon happens very frequently during the early conceptual phase. Based on this, various computational approaches also arise to explore this cognitive phenomenon, and the most well known of them are symbolic and connectionist approaches. To compare these two methods, one distinct discrepancy is that symbolism is good at efficient performance where connectionism excels in providing valid recognition. In other words, one focuses on providing abundant shapes and the other tries to recognize those useful, though few, subshapes. Therefore, the predominate problem statement of this study is how to propose a suitable mechanism to generate not only numerous but also valid subshapes. Moreover, after abundant explorations in design thinking, cognitive and computational approaches are already sufficient enough to provide computer-aided design (CAD) tool with a very substantial foundation. New computer media also bring designers a promising vision by means of its powerful computing capacity; notwithstanding, this is no more than prospect. Therefore, how to take advantage of the computational capacity to assist designers from a cognitive perspective is also the other significant issue in this study. Particularly, in order to make the computer media get closely involved into the process of designing rather than merely serve as a presenting tool, this study aims to propose a mechanism that could show the potential of not only recognizing subshapes but also allowing designers to interact with throughout the early conceptual phase. To specify this, how to achieve this objective will start from exploring the cognitive perspective—emergent subshapes, and then implement this mechanism as a CAD system to assist designers. Furthermore, in this study, genetic algorithm is adopted to tackle this issue. By means of the nature-like selection, the relationship of shapes and subshapes was reexamined; thus, from this point of view, genetic algorithm provides another approach—neither symbolism nor connectionism—to support designers in evolving more unanticipated subshapes. Ultimately, through integrating this mechanism into the three-dimensional modeling application, the combination of theoretical researches with computer-aided design could go further into a more practical and constructive stage.