Going Back to our Roots: Second Generation Biocomputing

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "Jon Timmis and Martyn Amos and Wolfgang Banzhaf and 
                 Andy Tyrrell",
  title =        "Going Back to our Roots: Second Generation
  journal =      "International Journal of Unconventional Computing",
  year =         "2006",
  volume =       "2",
  number =       "4",
  pages =        "349--378",
  note =         "Special Issue: Grand Challenge in Non-Classical
  keywords =     "genetic algorithms, genetic programming",
  ISSN =         "1548-7199",
  broken =       "http://www.oldcitypublishing.com/pdf/596",
  URL =          "http://www.oldcitypublishing.com/IJUC/IJUCabstracts/IJUC2.4abstracts/IJUCv2n4p349-378Timmis.html",
  URL =          "http://www.cs.mun.ca/~banzhaf/papers/JUC2006.pdf",
  size =         "33 pages",
  abstract =     "Researchers in the field of biocomputing have, for
                 many years, successfully used the natural world as
                 inspiration for developing systems that are robust,
                 adaptable and capable of generating novel and even
                 'creative' solutions to human-defined problems.
                 However, in this position paper we argue that the time
                 has now come for a reassessment of how we exploit
                 biology to generate new computational systems. Previous
                 solutions (the 'first generation' of biocomputing
                 techniques), whilst reasonably effective, are crude
                 analogues of actual biological systems. We believe that
                 a new, inherently inter-disciplinary approach is needed
                 for the development of the emerging 'second generation'
                 of bio-inspired methods. This new modus operandi will
                 require much closer interaction between the engineering
                 and life sciences communities, as well as a
                 bidirectional flow of concepts, applications and
                 expertise.We support our argument by examining, in this
                 new light, three existing areas of biocomputing
                 (genetic programming, artificial immune systems and
                 evolvable hardware), as well as an emerging area
                 (natural genetic engineering) which may provide useful
                 pointers as to the way forward.",
  notes =        "See also \cite{oai:arXiv.org:cs/0512071}.

Genetic Programming entries for Jon Timmis Martyn Amos Wolfgang Banzhaf Andrew M Tyrrell