• DocumentCode
    2324289
  • Title

    Prokaryotic Bio-Inspired Model for Embryonics

  • Author

    Samie, Mohammad ; Dragffy, Gabriel ; Popescu, Anca ; Pipe, Tony ; Melhuish, Chris

  • Author_Institution
    Bristol Robot. Labs., Univ. of the West of England, Bristol, UK
  • fYear
    2009
  • fDate
    July 29 2009-Aug. 1 2009
  • Firstpage
    163
  • Lastpage
    170
  • Abstract
    This paper is presented in conjunction with, and forms the first part of, the paper entitled ldquoprokaryotic bio-inspired systems.rdquo In this part we propose and investigate a novel prokaryotic cell-based bio-inspired model suitable to implement self-healing bio-inspired systems. A key feature of our model is that system reliability can be increased with a minimal amount of hardware overhead. It also offers a bio-inspired compression/decompression technique that exploits the intimate relationship between different genes. Distributed DNA, highly dynamic and flexible routing resources and optimized self-repair characteristics (using Block and cell elimination) are some of the other advantages of the proposed model.
  • Keywords
    DNA; bio-inspired materials; biocomputing; biomolecular electronics; cellular biophysics; compression; decompression; distributed DNA; embryonics; prokaryotic bio-inspired model; reliability; self-healing; Bioinformatics; Biological system modeling; Cells (biology); DNA; Embryo; Fault tolerant systems; Genetics; Genomics; Hardware; Redundancy; POE model; bio-inspired; soft computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Adaptive Hardware and Systems, 2009. AHS 2009. NASA/ESA Conference on
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    978-0-7695-3714-6
  • Type

    conf

  • DOI
    10.1109/AHS.2009.45
  • Filename
    5325458