99% (Biological) inspiration

M.G. Hinchey; R. Sterritt

doi:10.1109/EASE.2007.1

99% (Biological) inspiration

M.G. Hinchey
, R. Sterritt

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

21 Citations (Scopus)

Abstract

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

Original language	English
Title of host publication	Proceedings - Fourth IEEE International Workshop on Engineering of Autonomic and Autonomous Systems, EASe 2007
Publisher	IEEE
DOIs	https://doi.org/10.1109/EASE.2007.1
Publication status	Published (in print/issue) - Mar 2007
Event	Fourth IEEE International Workshop on Engineering of Autonomic and Autonomous Systems (EASe'07) - Tucson, AZ, USA Duration: 26 Mar 2007 → …

Conference

Conference	Fourth IEEE International Workshop on Engineering of Autonomic and Autonomous Systems (EASe'07)
Period	26/03/07 → …

Bibliographical note

This article is the IEEE Computer Society – Task Force on Autonomous and Autonomic Systems – Aug/Sep 2006 Letter released through the TFAAS Newsletter – Issue 6 @ http://tab.computer.org/aas/

The article is based on a keynote talk given at the IFIP Conference on Biologically Inspired Cooperative Computing (BICC 2006) at 19th IFIP WCC 2006, Santiago, Chile, August 2006.

First published as: Hinchey, M. G., Sterritt, R., 2006, in IFIP International Federation for Information Processing, Volume 216, Biologically Inspired Cooperative Computing, eds. Pan, Y, Rammig, F., Schmeck, H., Solar, M, (Boston: Springer), pp. 7–20. Reprinted with kind permission of Springer Science and Business Media.

We are grateful to the organizers of BICC 2006 for inviting this talk and associated paper.

Funding

Part of this work has been supported by the NASA Office of Systems and Mission Assurance (OSMA) through its Software Assurance Research Program (SARP) project, Formal Approaches to Swarm Technologies (FAST), and by NASA Software Engineering Laboratory, Goddard Space Flight Center (Code 581). This research is partly supported at University of Ulster by the Computer Science Research Institute (CSRI) and the Centre for Software Process Technologies (CSPT) which is funded by Invest NI through the Centres of Excellence Programme, under the EU Peace II initiative. Some of the technologies described in this paper are patent-pending and assigned to the United States government.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Birds
Systems biology
Biology computing
Feathers
Muscles
Aircraft manufacture
Aircraft propulsion
NASA
Computer science
Medical services

Access to Document

10.1109/EASE.2007.1

Cite this

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title = "99\% (Biological) inspiration",

abstract = "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",

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note = "This article is the IEEE Computer Society – Task Force on Autonomous and Autonomic Systems – Aug/Sep 2006 Letter released through the TFAAS Newsletter – Issue 6 @ http://tab.computer.org/aas/ The article is based on a keynote talk given at the IFIP Conference on Biologically Inspired Cooperative Computing (BICC 2006) at 19th IFIP WCC 2006, Santiago, Chile, August 2006. First published as: Hinchey, M. G., Sterritt, R., 2006, in IFIP International Federation for Information Processing, Volume 216, Biologically Inspired Cooperative Computing, eds. Pan, Y, Rammig, F., Schmeck, H., Solar, M, (Boston: Springer), pp. 7–20. Reprinted with kind permission of Springer Science and Business Media. We are grateful to the organizers of BICC 2006 for inviting this talk and associated paper.; Fourth IEEE International Workshop on Engineering of Autonomic and Autonomous Systems (EASe'07) ; Conference date: 26-03-2007",

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99% (Biological) inspiration

Abstract

Conference

Bibliographical note

Funding

UN SDGs

Keywords

Access to Document

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