Genetic programming: Biologically inspired computation that exhibits creativity in solving non-trivial problems
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- @InProceedings{bennett:1999:AISB,
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author = "Forrest H {Bennett III} and John R. Koza and
Martin A. Keane and David Andre",
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title = "Genetic programming: Biologically inspired computation
that exhibits creativity in solving non-trivial
problems",
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booktitle = "Proceedings of the AISB'99 Symposium on Scientific
Creativity",
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year = "1999",
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pages = "29--38",
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address = "Edingburgh",
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month = "8-9 " # apr,
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organisation = "The Society for the Study of Artificial Intelligence
and Simulation of Behaviour",
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keywords = "genetic algorithms, genetic programming",
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URL = "http://www.genetic-programming.com/jkpdf/aisb1999.pdf",
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abstract = "This paper describes a biologically inspired
domain-independent technique, called genetic
programming, that automatically creates computer
programs to solve problems. We argue that the field of
design is a useful testbed for determining whether an
automated technique can produce results that are
competitive with human-produced results. We present
several results that are competitive with the products
of human creativity and inventiveness. This claim is
supported by the fact that each of the results infringe
on previously issued patents. This paper presents a
candidate set of criteria that identify when a
machine-created solution to a problem is competitive
with a human-produced result.",
-
notes = "AISB-99",
- }
Genetic Programming entries for
Forrest Bennett
John Koza
Martin A Keane
David Andre
Citations