Routine Human-Competitive Machine Intelligence by Means of Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InCollection{koza:2003:SPIE,
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author = "John R. Koza and Matthew J. Streeter and
Martin A. Keane",
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title = "Routine Human-Competitive Machine Intelligence by
Means of Genetic Programming",
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booktitle = "Applications and Science of Neural Networks, Fuzzy
Systems, and Evolutionary Computation VI",
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publisher = "SPIE",
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year = "2003",
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editor = "Bruno Bosacchi and David B. Fogel and
James C. Bezdek",
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volume = "5200",
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series = "Proceedings of SPIE",
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pages = "1--15",
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address = "San Diego, California",
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note = "Keynote Address",
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email = "john@johnkoza.com",
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keywords = "genetic algorithms, genetic programming, automated
inventions, parametrised topology, analog circuit
synthesis, controller synthesis",
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URL = "http://www.genetic-programming.com/jkpdf/spie2003.pdf",
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DOI = "doi:10.1117/12.512613",
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size = "15 pages",
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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
Citations