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Bio-inspired Information Processing Applied to Engineering Systems

  • Conference paper
Information Processign in Cells and Tissues (IPCAT 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7223))

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Abstract

Over the course of billions of years, under evolutionary pressure, Nature has evolved solutions to various problems. As our ability to understand the biological mechanisms that are intrinsic in these solutions continues to improve, we have the opportunity to apply this knowledge when solving our challenging problems, in fields such as medicine and the environment. This paper discusses an approach, in which biological systems are investigated as information processing systems, and the understanding of how these systems process information is then applied to engineering systems. Two examples are presented. The first one discusses how the heart’s fault-tolerant information processing can be implemented in an electronic system. The second example discusses a cellular biochemical reaction network and how its property of robustness can be implemented in a chemical system. Finally, three different applications, in which this approach is already being applied with promising results, are briefly reviewed.

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Author information

Authors and Affiliations

  1. Information Technology Department, College of Computer and Information Sciences, King Saud University, P.O.Box 22452, Riyadh, 11495, Kingdom of Saudi Arabia

    Cristina Costa Santini

Authors
  1. Cristina Costa Santini
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Editor information

Editors and Affiliations

  1. Department of Electronics, University of York, YO10 5DD, York, UK

    Michael A. Lones  & Stephen L. Smith  & 

  2. MRC Laboratory of Molecular Biology, Hills Road, CB2 0QH, Cambridge, UK

    Sarah Teichmann

  3. The Institute of Bioengineering, École Polytechnique Fédérale de Lausanne (EPFL), 1015, Lausanne, Switzerland

    Felix Naef

  4. Department of Electronics, University of York, YO10 5DD, York, UK

    James A. Walker  & Martin A. Trefzer  & 

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© 2012 Springer-Verlag Berlin Heidelberg

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Santini, C.C. (2012). Bio-inspired Information Processing Applied to Engineering Systems. In: Lones, M.A., Smith, S.L., Teichmann, S., Naef, F., Walker, J.A., Trefzer, M.A. (eds) Information Processign in Cells and Tissues. IPCAT 2012. Lecture Notes in Computer Science, vol 7223. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28792-3_24

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  • DOI: https://doi.org/10.1007/978-3-642-28792-3_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28791-6

  • Online ISBN: 978-3-642-28792-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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