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99% (Biological) Inspiration…

Hinchey, Mike and Sterritt, Roy (2012) 99% (Biological) Inspiration…. In: Conquering Complexity. Springer, pp. 177-190. ISBN 978-1-4471-2296-8 [Book section]

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URL: http://dx.doi.org/10.1007/978-1-4471-2297-5_8

DOI: 10.1007/978-1-4471-2297-5_8


Greater understanding of biology in modern times has enabled significant breakthroughs in improving healthcare, quality of life, and eliminating many diseases and congenital illnesses. Simultaneously there is a move towards emulating nature and copying many of the wonders uncovered in biology, resulting in “biologically inspired” systems. Significant results have been reported in a wide range of areas, with systems inspired by nature enabling exploration, communication, and advances that were never dreamed possible just a few years ago. We warn, that as in many other fields of endeavor, we should be inspired by nature and biology, not engage in mimicry. We describe some results of biological inspiration that augur promise in terms of improving the safety and security of systems, and in developing self-managing systems, that we hope will ultimately lead to self-governing systems.

Item Type:Book section
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute > Smart Environments
Computer Science Research Institute
ID Code:21109
Deposited By: Mr Roy Sterritt
Deposited On:20 Feb 2012 14:07
Last Modified:17 Oct 2017 16:01

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