Macro-informatics of cognition and its application for design
Macro-informatics of cognition and its application for design
复制标题
认知宏观信息学及其在设计中的应用
DOI：
10.1016/j.aei.2008.10.004
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发表时间：
2009
影响因子：
8.8
通讯作者：
Y. Matsuoka
中科院分区：
文献类型：
--
作者：
Y. Ujiie;Y. Matsuoka
本文描述了认知的宏观信息学，它是宏观特征数学表述的指导。宏观特征产生于造型要素的总和，在造型设计中具有重要意义。利用传统的微观形状信息，如尺寸和曲率，很难对宏观特征进行数学表述。对于宏观特征的表述，本文提到了“条件”即环境中的各种物理要素的重要性。此外，本文还描述了宏观特征“复杂性”的数学公式及其在设计中的应用。该公式由曲率积分和多分辨率表示组成。在应用中，介绍了一种基于遗传算法的形状生成方法。
This paper describes Macro-informatics of cognition that is the guideline for mathematical formulation of macroscopic feature. The macroscopic feature emerges from the total of shape elements, and the feature is important in the styling design. The mathematical formulation of macroscopic feature is difficult using conventional microscopic shape information such as dimension and curvature. In this paper, for formulation of macroscopic feature, the importance of “condition” that is various physical elements in the circumstance is mentioned. Moreover, this paper describes the mathematical formulation of macroscopic feature “complexity,” and its application for design. The formulation consists of curvature integration and multi-resolution representation. In application, shape generation method based on a genetic algorithm is introduced.