Routine Human-Competitive Machine Intelligence by Means of Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8120

@InCollection{koza:2003:SPIE,

• 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 = "john@johnkoza.com",
• keywords = "genetic algorithms, genetic programming, automated inventions, parametrised topology, analog circuit synthesis, controller synthesis",
• URL = "http://www.genetic-programming.com/jkpdf/spie2003.pdf",
• 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

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