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The effects of functional modeling on understanding complex biological systems (2010)
| Content Provider | CiteSeerX |
|---|---|
| Author | Goel, Ashok Vattam, Swaroop Helms, Michael |
| Description | in Press, 2010 ASME Conference on Design Theory and Methods |
| Abstract | 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. BACKGROUND, MOTIVATION AND GOALS Biologically inspired (or biomimetic) design is an important and growing movement in design [1-4]. The movement is driven in part by the need for environmentally sustainable development, and partly by the recognition that nature can be a powerful source of inspiration for technological innovations. This, in turn, is driving development of educational courses and programs in biologically inspired design as well as interactive computational tools for supporting biologically inspired design in practice. The Biomimcry Guild’s web portal called AskNature |
| File Format | |
| Publisher Date | 2010-01-01 |
| Access Restriction | Open |
| Subject Keyword | Design 1-4 Accurate Inference Educational Course Particular Structure-behavior-function Inspired Engineering Design Functional Representation Motivation Goal Biologically Inspired Design Interactive Computational Tool Complex Biological System Biomimcry Guild Functional Modeling Sbf Representation Powerful Source Abstract Question Enable Understanding Complex Biological System |
| Content Type | Text |
| Resource Type | Conference Proceedings |