Acquisition of robot control rules by evolving MDDs
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{Sakai:2010:ieee-fuzz,
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author = "Masashi Sakai and Yutaro Tomoto and
Masayoshi Kanoh and Tsuyoshi Nakamura and Hidenori Itoh",
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title = "Acquisition of robot control rules by evolving MDDs",
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booktitle = "IEEE International Conference on Fuzzy Systems
(FUZZ-IEEE 2010)",
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year = "2010",
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address = "Barcelona, Spain",
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month = "18-23 " # jul,
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publisher = "IEEE Press",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-1-4244-6920-8",
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abstract = "A method in which multi-valued decision diagrams
(MDDs) are used to acquire robot action rules is
proposed. Kanoh et al. have proposed a method, which
uses multi-terminal binary decision diagrams (MTBDDs),
to acquire robot action rules. But the variables of
MTBDDs can only take values of 0 or 1; multiple
variables are needed to represent a single joint angle.
This increases the number of variables and the MTBDDs
that represent the action rules become complex. Here, a
method that uses MDDs, in which a single variable can
take on multiple values, is proposed and experimental
results are shown comparing MTBDDs and MDDs through
simulations to acquire robot action rules.",
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DOI = "doi:10.1109/FUZZY.2010.5584043",
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notes = "WCCI 2010. Also known as \cite{5584043}",
- }
Genetic Programming entries for
Masashi Sakai
Yutaro Tomoto
Masayoshi Kanoh
Tsuyoshi Nakamura
Hidenori Itoh
Citations