Developing Cooperation of Multiple Agents Using Genetic Network Programming with Automatically Defined Groups

Created by W.Langdon from gp-bibliography.bib Revision:1.2031

@InProceedings{murata:2004:lbp,
  author =       "Tadahiko Murata and Takashi Nakamura",
  title =        "Developing Cooperation of Multiple Agents Using
                 Genetic Network Programming with Automatically Defined
                 Groups",
  booktitle =    "Late Breaking Papers at the 2004 Genetic and
                 Evolutionary Computation Conference",
  year =         "2004",
  editor =       "Maarten Keijzer",
  address =      "Seattle, Washington, USA",
  month =        "26 " # jul,
  keywords =     "genetic algorithms, genetic programming, GNP",
  URL =          "http://www.cs.bham.ac.uk/~wbl/biblio/gecco2004/LBP044.pdf",
  abstract =     "In this paper, we propose Genetic Network Programming
                 (GNP) Architecture using Automatically Defined Groups.
                 GNP is a kind of new evolutionary method inspired from
                 Genetic Programming (GP). While GP has a tree
                 architecture, GNP has a network architecture, with
                 which an agent works in the virtual world. Because only
                 one network architecture is evolved for agents in a
                 system in previous works, every agent takes actions in
                 the same way. In this paper, we apply a coevolution
                 model called Automatically Defined Groups (ADG) to an
                 evolutionary process of GNP, so that several GNP
                 architectures are evolved in order to develop a
                 cooperation among multiple agents. By computer
                 simulation, we show that multi-agent cooperation can be
                 developed by our GNP architecture with the ADG model.",
  notes =        "Part of \cite{keijzer:2004:GECCO:lbp}",
}

Genetic Programming entries for Tadahiko Murata Takashi Nakamura