Programming with Primordial Ooze

Created by W.Langdon from gp-bibliography.bib Revision:1.4333

  author =       "W. Wayt Gibbs",
  title =        "Programming with Primordial Ooze",
  journal =      "Scientific American",
  year =         "1996",
  volume =       "275",
  number =       "4",
  pages =        "30--31",
  month =        oct,
  keywords =     "genetic algorithms, genetic programming",
  URL =          "",
  size =         "1 page",
  abstract =     "Computer programmers ascended the economic food chain
                 by inventing clever algorithms to make manufacturing
                 and service laborers redundant. But some programmers
                 may one day find themselves automated out of a job. In
                 university labs, scientists are teaching computers how
                 to write their own programs. Borrowing from the
                 principles of natural selection, the researchers have
                 built artificial ecosystems that, for a few problems at
                 least, can evolve solutions better than any yet devised
                 by humans. Someday such systems may even be able to
                 design new kinds of computers. The idea of evolving
                 rather than inducing algorithms is not new. John H.
                 Holland of the University of Michigan worked out the
                 method 21 years ago. But Holland's strategy, based on a
                 rigorous analogy to chromosomes, is limited to problems
                 whose solutions can be expressed as mathematical
                 formulas. It works well only if a human programmer
                 figures out how many numbers the computer should plug
                 into the formula.",
  notes =        "Summary Report on GP96. Notes on papers by Jamie J.
                 Fernandez, Conor Ryan, Brian Howley, Lee Spector and
                 Adrian Thompson",

Genetic Programming entries for W Wayt Gibbs