TY - JOUR
T1 - Macro-informatics of cognition and its application for design
AU - Ujiie, Yoshiki
AU - Matsuoka, Yoshiyuki
N1 - Funding Information:
This work is supported in part by Grant in Aid for the 21st century center of excellence for “System Design: Paradigm Shift from Intelligence to Life” from Ministry of Education, Culture, Sport, and Technology in Japan.
PY - 2009/4
Y1 - 2009/4
N2 - 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.
AB - 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.
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U2 - 10.1016/j.aei.2008.10.004
DO - 10.1016/j.aei.2008.10.004
M3 - Article
AN - SCOPUS:62549126000
SN - 1474-0346
VL - 23
SP - 184
EP - 190
JO - Advanced Engineering Informatics
JF - Advanced Engineering Informatics
IS - 2
ER -