Routine Human-Competitive Machine Intelligence by Means of Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4216

  author =       "John R. Koza and Matthew J. Streeter and 
                 Martin A. Keane",
  title =        "Routine Human-Competitive Machine Intelligence by
                 Means of Genetic Programming",
  booktitle =    "Applications and Science of Neural Networks, Fuzzy
                 Systems, and Evolutionary Computation VI",
  publisher =    "SPIE",
  year =         "2003",
  editor =       "Bruno Bosacchi and David B. Fogel and 
                 James C. Bezdek",
  volume =       "5200",
  series =       "Proceedings of SPIE",
  pages =        "1--15",
  address =      "San Diego, California",
  note =         "Keynote Address",
  email =        "",
  keywords =     "genetic algorithms, genetic programming, automated
                 inventions, parametrised topology, analog circuit
                 synthesis, controller synthesis",
  URL =          "",
  DOI =          "doi:10.1117/12.512613",
  size =         "15 pages",
  abstract =     "Genetic programming is a systematic method for getting
                 computers to automatically solve a problem. Genetic
                 programming starts from a high-level statement of what
                 needs to be done and automatically creates a computer
                 program to solve the problem. The paper demonstrates
                 that genetic programming (1) now routinely delivers
                 high-return human-competitive machine intelligence; (2)
                 is an automated invention machine; (3) can
                 automatically create a general solution to a problem in
                 the form of a parameterised topology; and (4) has
                 delivered a progression of qualitatively more
                 substantial results in synchrony with five
                 approximately order-of-magnitude increases in the
                 expenditure of computer time. Recent results involving
                 the automatic synthesis of the topology and sizing of
                 analog electrical circuits and controllers demonstrate
                 these points.",

Genetic Programming entries for John Koza Matthew J Streeter Martin A Keane