Shape grammar-based expert systems for engineering design

被引：0

作者：

Agarwal, M ^{[1
]}

Cagan, J ^{[1
]}

机构：

[1] Carnegie Mellon Univ, Dept Mech Engn, Computat Design Lab, Pittsburgh, PA 15213 USA

来源：

ARTIFICIAL INTELLIGENCE IN DESIGN '00 | 2000年

关键词：

D O I：

暂无

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 argues that shape grammars provide a unified foundation for engineering expert systems. Shape grammars maintain the generative and analytical ability of traditional production systems. However, the parametric nature of shape grammars, their ability to deal with physical form rather than abstract elements and their ability to recognize emergent shapes give them significant advantages over traditional production systems for geometry based engineering design.

引用

页码：193 / 202

页数：10

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