Article
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Preserved in Portico This version is not peer-reviewed
Bioimetics with Trade-Offs
Version 1
: Received: 2 May 2023 / Approved: 3 May 2023 / Online: 3 May 2023 (09:44:40 CEST)
A peer-reviewed article of this Preprint also exists.
Vincent, J. Biomimetics with Trade-Offs. Biomimetics 2023, 8, 265. Vincent, J. Biomimetics with Trade-Offs. Biomimetics 2023, 8, 265.
Abstract
Our knowledge of physics and chemistry is relatively well defined. Results from that knowledge are predictable as, largely, are those of their technical offspring such as electrical, chemical, me-chanical and civil engineering. By contrast biology is relatively unconstrained and unpredictable. A factor common to all areas is the trade-off, which provides a means of defining and quantifying a problem and, ideally, its solution. In order to understand the anatomy of the trade-off and how to handle it, its development (as the dialectic) is tracked from Hegel and Marx to its implementa-tion as dialectical materialism in Russian philosophy and TRIZ, the Theory of Invention. With the ready availability of mathematical techniques, such as multi-objective analysis and the Pareto set, the trade-off is well-adapted to bridging the gaps between the quantified and the unquantifiable, allowing modelling and the transfer of concepts by analogy. It is thus an ideal tool for biomimet-ics. An intracranial endoscope can be derived with little change from the egg-laying tube of a wood wasp. More complex transfers become available as the technique is developed. Most im-portant, as more trade-offs are analyzed, their results are stored to be used again in the solution of problems. There is no other system in biomimetics which can do this.
Keywords
trade-off; dialectic; TRIZ; Inventive Principle; wood wasp ovipositor; intracranial endoscope; Pareto curve
Subject
Biology and Life Sciences, Biophysics
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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