Evolution in Materio: Looking Beyond the Silicon Box

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

@InProceedings{Miller:2002:eh,
  author =       "Julian F. Miller and Keith Downing",
  editor =       "Adrian Stoica and Jason Lohn and Rich Katz and 
                 Didier Keymeulen and Ricardo Salem Zebulum",
  month =        "15-18 " # jul,
  year =         "2002",
  title =        "Evolution in Materio: Looking Beyond the Silicon Box",
  booktitle =    "The 2002 {NASA/DoD} Conference on Evolvable Hardware",
  pages =        "167--176",
  publisher =    "IEEE Computer Society",
  address =      "Alexandria, Virginia",
  organisation = "Jet Propulsion Laboratory, California Institute of
                 Technology",
  keywords =     "genetic algorithms, genetic programming, Evolvable
                 Matter, Molecular Circuits, Evolvable
                 Hardware,Intrinsic evolution",
  publisher_address = "10662 Los Vaqueros Circle, P.O. Box 3014, Los
                 Alamitos, CA, 90720-1314, USA",
  email =        "j.miller@cs.bham.ac.uk",
  ISBN =         "0-7695-1718-8",
  URL =          "http://www.elec.york.ac.uk/intsys/users/jfm7/eh2002.pdf",
  abstract =     "It is argued that natural evolution is, par
                 excellence, an algorithm that exploits the physical
                 properties of materials. Such an exploitation of the
                 physical characteristics has already been demonstrated
                 in intrinsic evolution of electronic circuits. This
                 paper is an attempt to point the way toward the
                 exciting possibility of using artificial evolution to
                 directly exploit the properties of materials, possibly
                 at a molecular level. It is suggested that this may be
                 best accomplished in materials not normally associated
                 with electronic functions. Electronic components have
                 been prefected by human designers to construct circuits
                 using the traditional top-down methodology. Workers in
                 artificial intrinsic hardware evolution have with the
                 best of motives, been abusing such components. It is a
                 tribute to the amazing resourcefulness of a blind
                 evolutionary process that it has been possible to
                 evolve new circuits in this way. Artificial evolution
                 may be much more effective when the configurable medium
                 has a rich and complicated physics. This idea is
                 discussed and particular examples that look extremely
                 promising are given. Ultimately it may be possible to
                 evolve entirely new technologies and new sorts of
                 computational systems may be devised that confer many
                 advantages over conventional electronic technology.",
  notes =        "EH2002 http://cism.jpl.nasa.gov/ehw/events/nasaeh02/",
}

Genetic Programming entries for Julian F Miller Keith L Downing

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