Acquisition of robot control rules by evolving MDDs

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

  author =       "Masashi Sakai and Yutaro Tomoto and 
                 Masayoshi Kanoh and Tsuyoshi Nakamura and Hidenori Itoh",
  title =        "Acquisition of robot control rules by evolving MDDs",
  booktitle =    "IEEE International Conference on Fuzzy Systems
                 (FUZZ-IEEE 2010)",
  year =         "2010",
  address =      "Barcelona, Spain",
  month =        "18-23 " # jul,
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-1-4244-6920-8",
  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.",
  DOI =          "doi:10.1109/FUZZY.2010.5584043",
  notes =        "WCCI 2010. Also known as \cite{5584043}",

Genetic Programming entries for Masashi Sakai Yutaro Tomoto Masayoshi Kanoh Tsuyoshi Nakamura Hidenori Itoh