Macro-informatics of cognition and its application for design

被引:10
作者
Ujiie, Yoshiki [1 ]
Matsuoka, Yoshiyuki [1 ]
机构
[1] Keio Univ, Fac Sci & Technol, Dept Mech Engn, Kohoku Ku, Yokohama, Kanagawa 2238522, Japan
关键词
JUDGED COMPLEXITY; PLANAR CURVES; SHAPES;
D O I
10.1016/j.aei.2008.10.004
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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. (C) 2009 Published by Elsevier Ltd.
引用
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页码:184 / 190
页数:7
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