``Going back to our roots'': second generation biocomputing

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Misc{oai:arXiv.org:cs/0512071,
  title =        "``Going back to our roots'': second generation
                 biocomputing",
  note =         "Submitted to the International Journal of
                 Unconventional Computing",
  author =       "Jon Timmis and Martyn Amos and Wolfgang Banzhaf and 
                 Andy Tyrrell",
  year =         "2005",
  month =        dec # "~16",
  howpublished = "arXiv",
  bibsource =    "OAI-PMH server at arXiv.org",
  oai =          "oai:arXiv.org:cs/0512071",
  keywords =     "genetic algorithms, genetic programming, EHW, AIS,
                 Artificial Intelligence, Neural and Evolutionary
                 Computing",
  URL =          "http://arxiv.org/abs/cs/0512071",
  size =         "36 pages",
  abstract =     "Researchers in the field of biocomputing have, for
                 many years, successfully 'harvested and exploited' the
                 natural world for inspiration in 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 \cite{Timmis:2006:IJUC}",
}

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

Citations