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Human-competitive machine invention by means of genetic programming

Published online by Cambridge University Press:  12 June 2008

John R. Koza
John R. Koza
Affiliation:
Biomedical Informatics Program, Department of Medicine, Stanford University, Stanford, California, USA
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Abstract

Genetic programming is a systematic method for getting computers to automatically solve problems. Genetic programming uses the Darwinian principle of natural selection and analogs of recombination (crossover), mutation, gene duplication, gene deletion, and certain mechanisms of developmental biology to progressively breed, over a series of many generations, an improved population of candidate solutions to a problem. This paper makes the points that genetic programming now routinely delivers human-competitive machine intelligence for problems of automated design and can serve as an automated invention machine.

Keywords

Automated DesignComputer-Aided DesignDevelopmental Genetic ProgrammingGenetic ProgrammingHuman-Competitive Results

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Type
Research Article
Information
AI EDAM , Volume 22 , Issue 3 , August 2008 , pp. 185 - 193
Copyright
Copyright © Cambridge University Press 2008

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