Extraction Processing

Download Biologically Inspired Design: Computational Methods and by Ashok K Goel, Daniel A McAdams, Robert B. Stone PDF

By Ashok K Goel, Daniel A McAdams, Robert B. Stone

From basic instances equivalent to hook and latch attachments present in Velcro to articulated-wing flying cars, biology frequently has been used to encourage many inventive layout principles. The clinical problem now's to remodel the paradigm right into a repeatable and scalable method. Biologically encouraged layout explores computational innovations and instruments which can aid combine the tactic into layout practice.

With an inspiring foreword from Janine Benyus, Biologically encouraged layout incorporates a dozen chapters written via many of the best students within the transdisciplinary box of bioinspired layout, equivalent to Frank Fish, Julian Vincent and Jeannette Yen from biology, and Amaresk Chakrabarti, Satyandra Gupta and Li Shu from engineering. dependent partially on discussions at workshops backed via the USA nationwide technology starting place, this quantity introduces and develops numerous tools and instruments for bioinspired layout including:

Information-processing theories,
Natural language techniques,
Knowledge-based instruments, and
Functional techniques and Pedagogical techniques.

By exploring those primary theories, recommendations and instruments for helping biologically encouraged layout, this quantity presents a finished source for layout practitioners wishing to discover the paradigm, a useful advisor to layout educators attracted to instructing the strategy, and a initial studying for layout researchers desirous to examine bioinspired design.

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Extra resources for Biologically Inspired Design: Computational Methods and Tools

Example text

1088/1748-3182/1/1/P01 Benyus JM (1997) Biomimicry: innovation inspired by nature, 1st edn. 8 Institute (2011) Asknature selected as finalist for prestigious design competition. org/article/view/index2011 Glier MW, Tsenn J, Linsey JS, McAdams DA (2011) Methods for supporting bioinspired design. ASME Conf Proc 2011(54884):737–744. 1115/IMECE2011-63247 Helms M, Vattam S, Goel A (2009) Biologically inspired design: process and products. Des Stud 30(5):606–622 Helms M, Vattam S, Goel A (2010) The effect of functional modeling on understanding complex biological systems.

Due to the designer frustration this may cause, such results are more likely to be overlooked even if they are relevant. Therefore, initial results from a more basic text may be more effective for introducing the subject and confirming relevance to the design problem. An understanding and confirmed relevance of the subject then motivates further research and effort to understand the possibly complex details needed to develop a solution. 2 Search Keywords As the same keywords used to categorize phenomena are often presented as possible search keywords, searching databases specifically created to support biomimetic design tends to be more straightforward than searching natural language sources.

1 Flow chart of the keyword bridging method, adapted from Chiu and Shu (2007), illustrates finding the biologically meaningful keyword ‘defend’ for the engineering keyword ‘clean’ Within the relevant matches, words, typically nouns, for example ‘cells,’ ‘plants,’ and ‘disease,’ which frequently occur, are then identified, along with the verbs that act on them. These verbs are then searched for in a biology dictionary. ’ For example, ‘abscise,’ meaning to naturally separate or fall off, such as by a dead leaf or ripe fruit, is part of the defined term ‘abscission,’ and therefore a biologically significant verb.

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