Cooperative Behavior Acquisition in a Multiple Mobile Robot Environment by Co-evolution

Created by W.Langdon from gp-bibliography.bib Revision:1.4216

  author =       "Eiji Uchibe and Masateru Nakamura and Minoru Asada",
  title =        "Cooperative Behavior Acquisition in a Multiple Mobile
                 Robot Environment by Co-evolution",
  booktitle =    "RoboCup-98: Robot Soccer World Cup II",
  year =         "1998",
  editor =       "Minoru Asada and Hiroaki Kitano",
  volume =       "1604",
  series =       "Lecture Notes in Computer Science",
  pages =        "273--285",
  address =      "Paris",
  month =        "2-3 " # jul,
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming",
  ISSN =         "0302-9743",
  ISBN =         "3-540-66320-7",
  bibsource =    "DBLP,",
  URL =          "",
  size =         "14 pages",
  abstract =     "Coevolution has recently been receiving increased
                 attention as a method for multi agent simultaneous
                 learning. This paper discusses how multiple robots can
                 emerge cooperative behaviours through co-evolutionary
                 processes. As an example task, a simplified soccer game
                 with three learning robots is selected and a GP
                 (genetic programming) method is applied to individual
                 population corresponding to each robot so as to obtain
                 cooperative and competitive behaviors through
                 evolutionary processes. The complexity of the problem
                 can be explained twofold: co-evolution for cooperative
                 behaviours needs exact synchronisation of mutual
                 evolutions, and three robot coevolution requires
                 well-complicated environment setups that may gradually
                 change from simpler to more complicated situations so
                 that they can obtain cooperative and competitive
                 behaviors simultaneously in a wide range of search area
                 in various kinds of aspects. Simulation results are
                 shown, and a discussion is given.",
  notes =        "",

Genetic Programming entries for Eiji Uchibe Masateru Nakamura Minoru Asada