Macro-informatics of cognition and its application for design

Authors:
Yoshiki Ujiie;Yoshiyuki Matsuoka
Affiliations:
Faculty of Science and Technology, Department of Mechanical Engineering, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama 223-8522, Japan;Faculty of Science and Technology, Department of Mechanical Engineering, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama 223-8522, Japan
Venue:
Advanced Engineering Informatics
Year:
2009

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Abstract

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.