THE EFFECT OF FUNCTIONAL MODELING ON UNDERSTANDING COMPLEX BIOLOGICAL SYSTEMS

被引：0

作者：

Helms, Michael ^{[1
]}

Vattam, Swaroop ^{[1
]}

Goel, Ashok ^{[1
]}

机构：

[1] Georgia Inst Technol, Sch Interact Comp, Design & Intelligence Lab, Atlanta, GA 30332 USA

来源：

PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, DETC 2010, VOL 5 | 2010年

关键词：

REPRESENTATION; DESIGN;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Biologically inspired engineering design requires understanding of complex biological systems for use as analogues in engineering designs. In this study we seek to understand how functional representations, in particular Structure-Behavior-Function (SBF) models, enable understanding complex biological systems. Results from this study indicate that SBF representations may enable more accurate inferences about biological systems for complex and abstract questions than purely textual, or textual and diagrammatic, representations. They also suggest that no one representation is best for all types of inferences.

引用

页码：107 / 115

页数：9

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