Using genetic programming to discover nonlinear variable interactions
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- @Article{westbury:2003:brmic,
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author = "Chris Westbury and Lori Buchanan and
Michael Sanderson and Mijke Rhemtulla and Leah Phillips",
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title = "Using genetic programming to discover nonlinear
variable interactions",
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journal = "Behavior Research Methods, Instruments, \& Computers",
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year = "2003",
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volume = "35",
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number = "2",
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pages = "202--216",
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month = may,
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keywords = "genetic algorithms, genetic programming",
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ISSN = "0743-3808",
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publisher = "Springer-Verlag",
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URL = "http://link.springer.com/article/10.3758/BF03202543",
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DOI = "doi:10.3758/BF03202543",
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size = "15 pages",
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abstract = "Psychology has to deal with many interacting
variables. The analyses usually used to uncover such
relationships have many constraints that limit their
utility. We briefly discuss these and describe recent
work that uses genetic programming to evolve equations
to combine variables in nonlinear ways in a number of
different domains. We focus on four studies of
interactions from lexical access experiments and
psychometric problems. In all cases, genetic
programming described nonlinear combinations of items
in a manner that was subsequently independently
verified. We discuss the general implications of
genetic programming and related computational methods
for multivariate problems in psychology",
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notes = "PMID: 12834075",
- }
Genetic Programming entries for
Chris Westbury
Lori Buchanan
Michael Sanderson
Mijke Rhemtulla
Leah Phillips
Citations