Genetic Programming and Emergent Intelligence

Created by W.Langdon from gp-bibliography.bib Revision:1.2031

@InCollection{kinnear:angeline,
  title =        "Genetic Programming and Emergent Intelligence",
  author =       "Peter John Angeline",
  booktitle =    "Advances in Genetic Programming",
  publisher =    "MIT Press",
  editor =       "Kenneth E. {Kinnear, Jr.}",
  year =         "1994",
  pages =        "75--98",
  chapter =      "4",
  size =         "23 pages",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://citeseer.ist.psu.edu/187189.html",
  URL =          "http://citeseer.ist.psu.edu/cache/papers/cs/1870/http:zSzzSzwww.natural-selection.comzSzpeoplezSzpjazSzdocszSzaigp.pdf/angeline94genetic.pdf",
  URL =          "http://cognet.mit.edu/library/books/view?isbn=0262111888",
  notes =        "{"}Contrasts GP with other Weak/strong AI methods,
                 credit assignment, USEFUL, diplodity=redundancy=good,
                 hierarchical code/decode of subroutines better than
                 Koza ADF Loads of references{"}

                 I realized that inherent dynamics of genetic
                 programming encouraged certain emergent properties. The
                 most important of these is that introns emerge
                 naturally from the process to protect the developing
                 program from crossover. Others in the field think this
                 extra stuff in the genetic program is a bad thing,
                 reflected by their choice of the term {"}bloating{"}
                 for the effect. This chapter is the first to take a
                 positive view on GP introns and other emergent
                 phenomena. I think this is the first paper to associate
                 the {"}extra{"} code in genetic programs with the
                 intron concept.",
}

Genetic Programming entries for Peter John Angeline