Multiagent communication combining genetic programming and pheromone communication

Created by W.Langdon from gp-bibliography.bib Revision:1.4202

  author =       "Kenneth J. Mackin and Eiichiro Tazaki",
  title =        "Multiagent communication combining genetic programming
                 and pheromone communication",
  journal =      "Kybernetes",
  year =         "2002",
  volume =       "31",
  number =       "6",
  pages =        "827--843",
  keywords =     "genetic algorithms, genetic programming, Cybernetics;
                 Programming, Communications, Electronic Commence",
  DOI =          "doi:10.1108/03684920210432808",
  abstract =     "Multiagent systems, in which independent software
                 agents interact with each other to achieve common
                 goals, complete concurrent distributed tasks under
                 autonomous control. Agent Communication has been shown
                 to be an important factor in coordinating efficient
                 group behavior in agents. Most researches on training
                 or evolving group behavior in multiagent systems used
                 predefined agent communication protocols. Designing
                 agent communication becomes a complex problem in
                 dynamic and large-scale systems. In order to solve this
                 problem, in this paper we propose a new application of
                 existing training methods. By applying Genetic
                 Programming techniques, namely Automatically Defined
                 Function Genetic Programming (ADF-GP), in combination
                 with pheromone communication features, we allowed the
                 agent system to autonomously learn effective agent
                 communication messaging for coordinated group behavior.
                 A software simulation of a multiagent transaction
                 system aiming at e-commerce usage will be used to
                 observe the effectiveness of the proposed method in the
                 targeted environment. Using the proposed method,
                 automatic training of a compact and efficient agent
                 communication protocol for the multiagent system was

Genetic Programming entries for Kenneth J Mackin Eiichiro Tazaki