• DocumentCode
    1548714
  • Title

    A phylogenetic, ontogenetic, and epigenetic view of bio-inspired hardware systems

  • Author

    Sipper, Moshe ; Sanchez, Eduardo ; Mange, Daniel ; Tomassini, Marco ; Pérez-Uribe, Andrés ; Stauffer, André

  • Author_Institution
    Logic Syst. Lab., Swiss Federal Inst. of Technol., Lausanne, Switzerland
  • Volume
    1
  • Issue
    1
  • fYear
    1997
  • fDate
    4/1/1997 12:00:00 AM
  • Firstpage
    83
  • Lastpage
    97
  • Abstract
    If one considers life on Earth since its very beginning, three levels of organization can be distinguished: the phylogenetic level concerns the temporal evolution of the genetic programs within individuals and species, the ontogenetic level concerns the developmental process of a single multicellular organism, and the epigenetic level concerns the learning processes during an individual organism´s lifetime. In analogy to nature, the space of bio-inspired hardware systems can be partitioned along these three axes-phylogeny, ontogeny and epigenesis (POE)-giving rise to the POE model. This paper is an exposition and examination of bio-inspired systems within the POE framework, with our goals being: (1) to present an overview of current-day research, (2) to demonstrate that the POE model can be used to classify bio-inspired systems, and (3) to identify possible directions for future research, derived from a POE outlook. We discuss each of the three axes separately, considering the systems created to date and plotting directions for continued progress along the axis in question
  • Keywords
    biocomputers; biomolecular electronics; biotechnology; genetic algorithms; learning systems; neural nets; technological forecasting; bio-inspired hardware systems; embryonics; epigenesis; evolutionary computation; evolvable hardware; genetic programs; immune systems; learning processes; multicellular organism; neural networks; ontogeny; phylogeny; temporal evolution; Biology; Bridges; Earth; Evolution (biology); Evolutionary computation; Face detection; Genetics; Hardware; Organisms; Phylogeny;
  • fLanguage
    English
  • Journal_Title
    Evolutionary Computation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1089-778X
  • Type

    jour

  • DOI
    10.1109/4235.585894
  • Filename
    585894