Evolving a Replicator The Genetic Programming of Self Reproduction in Cellular Automata   [GP] [CA]

by

Garis, H., D. and Garis, H., .

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Info: ECAL-93 Self organisation and life: from simple rules to global complexity (Conference proceedings), 1993, p. 274-284
Keywords:genetic algorithms, genetic programming, nonotechnology, nanots, artificial life, Qantum-electronic computers, Darwin machines
Abstract:
Presents results from the evolution of cellular automata [CA] replicators using GP (ie using GAs to build/evolve systems. 1: How difficult is the evolution of CA replicators (intersity to Artificial Life), [AL] 2: Evolving CAs may provide tools for quantum-electronic computers (eg quantum dot arrays)
Notes:
There seems to be some doubt as to wether ECAL-93 was published. This copy from attendee. GA chromosome is fixed (1024 * 4 CA state values) encoding the CA state transition rules. "Evolving CA replicators is much harder than initially thought" Now working on CA networks cf Von Neuman, Codd, Burks.
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BibTex:
@InProceedings{degaris:1993:erGPsrca,
  author =       "Hugo {de Garis}",
  title =        "Evolving a Replicator The Genetic Programming of Self
                 Reproduction in Cellular Automata",
  booktitle =    "ECAL-93 Self organisation and life: from simple rules
                 to global complexity",
  year =         "1993",
  pages =        "274--284",
  address =      "CP 231, Universite Libre de Bruxelles, Bld. du
                 Triomphe, 1050 Brussels, Belgium, Fax 32-2-659.5767
                 Phone 32-2-650.5776 Email sgross@ulb.ac.be",
  month =        "24--26 " # may,
  organisation = "Centre for Non-Linear Phenomena and Complex Systems",
  email =        "degaris@hip.att.co.jp",
  keywords =     "genetic algorithms, genetic programming,
                 nonotechnology, nanots, artificial life,
                 Qantum-electronic computers, Darwin machines",
  size =         "11 pages",
  abstract =     "Presents results from the evolution of cellular
                 automata replicators using GP (ie using GAs to
                 build/evolve systems. 1: How difficult is the evolution
                 of CA replicators (intersity to Artificial Life), 2:
                 Evolving CAs may provide tools for quantum-electronic
                 computers (eg quantum dot arrays)",
  notes =        "There seems to be some doubt as to wether ECAL-93 was
                 published. This copy from attendee.

                 GA chromosome is fixed (1024 * 4 CA state values)
                 encoding the CA state transition rules.

                 {"}Evolving CA replicators is much harder than
                 initially thought{"}

                 Now working on CA networks cf Von Neuman, Codd,
                 Burks.",
}