Evolving Communicating Agents based on Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Hitoshi Iba and Tishihide Nozoe and Kanji Ueda",
  title =        "Evolving Communicating Agents based on Genetic
  booktitle =    "Proceedings of the 1997 {IEEE} International
                 Conference on Evolutionary Computation",
  year =         "1997",
  pages =        "297--302",
  address =      "Indianapolis, IN, USA",
  publisher_address = "Piscataway, NJ, USA",
  month =        "13-16 " # apr,
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming, Artificial
                 intelligence, Cloning, Intelligent agent, Laboratories,
                 Learning, Multiagent systems, Robot kinematics,
                 Robustness, Testing, cooperative systems, digital
                 simulation, games of skill, intelligent control,
                 learning (artificial intelligence), linear programming,
                 software agents, GP based multi agent learning,
                 co-evolutionary breeding strategy, communicating
                 agents, comparative experiments, cooperative behaviour,
                 evolving communicating agents, multi agent test bed,
                 pursuit game, simulated environment, simulated robot
  ISBN =         "0-7803-3949-5",
  DOI =          "doi:10.1109/ICEC.1997.592321",
  size =         "6 pages",
  abstract =     "The paper presents the emergence of the cooperative
                 behavior for communicating agents by means of genetic
                 programming (GP). Our experimental domain is the
                 pursuit game, a multi agent test bed. The world
                 consists of simulated robot agents and a simulated
                 environment which is both dynamic and unpredictable.
                 For the purpose of evolving the cooperative behavior,
                 we use the co-evolutionary breeding strategy. We
                 confirm the emergence of cooperation via communication.
                 The effectiveness of GP based multi agent learning is
                 discussed with comparative experiments",
  notes =        "ICEC-97",

Genetic Programming entries for Hitoshi Iba Tishihide Nozoe Kanji Ueda