Emergent phenomena in genetic programming   [GP]

by

Altenberg, L.

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Info: Evolutionary Programming --- Proceedings of the Third Annual Conference (Conference proceedings), 1994, p. 233-241
Keywords:genetic algorithms, genetic programming
Abstract:
Evolutionary computation systems [EC] exhibit various emergent phenomena, primary of which is adaptation. In genetic programming, [GP] because of the indeterminate nature of the representation, the evolution of both recombination distributions [RD] and representations can emerge from the population dynamics. [PD] A review of ideas on these phenomena is presented, including theory on the evolution [EOE] of evolvability through differential proliferation of subexpressions within programs. An analysis is given of a model of genetic programming dynamics [GP] that is supportive of the ``Soft Brood Selection'' conjecture, which was proposed as a means to counteract the emergence of highly conservative code, and instead favor highly evolvable code. Copyright 1996 Lee Altenberg
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BibTex:
@InProceedings{Altenberg:1994EPIGP,
  author =       "Lee Altenberg",
  year =         "1994",
  title =        "Emergent phenomena in genetic programming",
  booktitle =    "Evolutionary Programming --- Proceedings of the Third
                 Annual Conference",
  editor =       "A. V. Sebald and L. J. Fogel",
  publisher =    "World Scientific Publishing",
  pages =        "233--241",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "981-02-1810-9",
  URL =          "ftp://ftp.mhpcc.edu/pub/incoming/altenberg/LeeEEGP.ps.Z",
  url_2 =        "http://pueo.mhpcc.edu/~altenber/PAPERS/LeeEPIGP.html",
  abstract =     "Evolutionary computation systems exhibit various
                 emergent phenomena, primary of which is adaptation. In
                 genetic programming, because of the indeterminate
                 nature of the representation, the evolution of both
                 recombination distributions and representations can
                 emerge from the population dynamics. A review of ideas
                 on these phenomena is presented, including theory on
                 the evolution of evolvability through differential
                 proliferation of subexpressions within programs. An
                 analysis is given of a model of genetic programming
                 dynamics that is supportive of the ``Soft Brood
                 Selection'' conjecture, which was proposed as a means
                 to counteract the emergence of highly conservative
                 code, and instead favor highly evolvable
                 code.

                 Copyright 1996 Lee Altenberg",
  notes =        "

                 ",
}