Acquisition of robot control rules by evolving MDDs

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{Sakai:2010:ieee-fuzz,

• 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

Citations