Deep Data Dives Discover Natural Laws

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@Article{Anthes:2009:ACM,
  author =       "Gary Anthes",
  title =        "Deep Data Dives Discover Natural Laws",
  journal =      "Communications of the ACM",
  year =         "2009",
  volume =       "52",
  number =       "11",
  pages =        "13--14",
  month =        nov,
  note =         "News",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://cacm.acm.org/magazines/2009/11/48443-deep-data-dives-discover-natural-laws/pdf",
  DOI =          "doi:10.1145/1592761.1592768",
  size =         "2 pages",
  abstract =     "Computer scientists have found a way to bootstrap
                 science, using evolutionary computation to find
                 fundamental meaning in massive amounts of raw
                 data.

                 Mining scientific data for patterns and relationships
                 has been a common practice for decades, and the use of
                 self-mutating genetic algorithms is nothing new,
                 either. But now a pair of computer scientists at
                 Cornell University have pushed these techniques into an
                 entirely new realm, one that could fundamentally
                 transform the methods of science at the frontiers of
                 research.",
  notes =        "Report on \cite{Science09:Schmidt}",
}

Genetic Programming entries for Gary Anthes

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