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Publication Detail
Mapping Non-conventional Extensions of Genetic Programming
  • Publication Type:
    Journal article
  • Publication Sub Type:
    article
  • Authors:
    Langdon WB, Poli R
  • Publication date:
    03/2008
  • Pagination:
    21, 43
  • Journal:
    Natural Computing
  • Volume:
    7
  • Notes:
    Invited contribution to special issue on Unconventional computing issue: 1 keywords: genetic algorithms, genetic programming notes: update of \citelangdon:2006:UC
Abstract
Conventional genetic programming research excludes memory and iteration. We have begun an extensive analysis of the space through which GP or other unconventional AI approaches search and extend it to consider explicit program stop instructions (T8), including Markov analysis and any time models (T7). We report halting probability, run time and functionality (including entropy of binary functions) of both halting and anytime programs. Irreversible Turing complete program fitness landscapes, even with halt, scale poorly however loops lock-in variation allowing more interesting functions.
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