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New PDF release: Biologically Inspired Design: Computational Methods and

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

ISBN-10: 1447152476

ISBN-13: 9781447152477

ISBN-10: 1447152484

ISBN-13: 9781447152484

From easy instances resembling hook and latch attachments present in Velcro to articulated-wing flying cars, biology usually has been used to motivate many inventive layout rules. The medical problem now could be to rework the paradigm right into a repeatable and scalable method. Biologically encouraged layout explores computational thoughts and instruments that could aid combine the tactic into layout practice.

With an inspiring foreword from Janine Benyus, Biologically encouraged layout features a dozen chapters written by means of the various prime 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 partly on discussions at workshops subsidized through the U.S. nationwide technology origin, this quantity introduces and develops a number of 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, suggestions and instruments for aiding biologically encouraged layout, this quantity presents a complete source for layout practitioners wishing to discover the paradigm, a useful consultant to layout educators drawn to educating the strategy, and a initial studying for layout researchers eager to examine bioinspired design.

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Extra resources for Biologically Inspired Design: Computational Methods and Tools

Sample text

These natural occupants of our bodies compete with pathogens for space and nutrients, so normal flora are a form of innate defense. Four similarity types were observed between the description of the biological phenomenon and the concepts developed using them as stimuli. These similarity types are shown with examples in Fig. 2, whose axes are strategic accuracy and abstraction of biological entities. Details on the four similarity types are as follows: 1. Literal implementation: A literal implementation involves using biological entities, for example bacteria, directly to solve the engineering problem, for example, by filling clothing pores to prevent dirt from settling.

Some anomalous concepts are due to lack of understanding. Other anomalous concepts are likely due to fixation on a few words, for example ‘motor’ in motor proteins, in the text description while disregarding the overall strategy or principle presented. 42 L. H. Shu and H. Cheong 4. Analogy: The intended analogous solution accurately applies the strategy from the biological phenomenon to the concept without transferring the biological entities, for example bacteria, into the solution. 2 Analogical Mapping Tools Although identifying the undesired categories of similarity reduced the number of misapplied biomimetic design, two persisting difficulties observed by Mak and Shu (2008) in students using descriptions of biological phenomena were as follows: inability to transfer information from biology to engineering and fixation on specific phrases of the description of biological phenomena.

Lindemann and Gramann (2004) propose a checklist of associations to translate between technical functions and biology terms. For example, the technical functions of ‘change of the state of aggregation’ and ‘condense a gas’ are associated with biological terms: nose passages, desert plants/animals, and leaves. Helms et al. (2009) suggest several solution search heuristics including change constraints, identify champion adapters, examine variations within a solution family, and identify biological systems with multi-functionality.

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

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