Evolutionary learning of communicating agents

Created by W.Langdon from gp-bibliography.bib Revision:1.4340

  author =       "Hitoshi Iba",
  title =        "Evolutionary learning of communicating agents",
  journal =      "Information Sciences",
  year =         "1998",
  volume =       "108",
  number =       "1-4",
  pages =        "181--205",
  month =        jul,
  keywords =     "genetic algorithms, genetic programming, Multi-agent
                 system, Distributed artificial intelligence",
  ISSN =         "0020-0255",
  DOI =          "doi:10.1016/S0020-0255(97)10055-X",
  URL =          "http://www.sciencedirect.com/science/article/B6V0C-3TKS65B-F/2/ecac160ea272b4818c97d3aab09527d4",
  abstract =     "This paper presents the emergence of the cooperative
                 behavior for communicating agents by means of Genetic
                 Programming (GP). Our experimental domains are the
                 pursuit game and the robot navigation task. We conduct
                 experiments with the evolution of the communicating
                 agents and show the effectiveness of the emergent
                 communication in terms of the robustness of generated
                 GP programs. The performance of GP-based multi-agent
                 learning is discussed with comparative experiments by
                 using different breeding strategies, i.e., homogenous
                 breeding and heterogeneous breeding.",
  notes =        "Information Sciences

Genetic Programming entries for Hitoshi Iba