Improving coordination via emergent communication in cooperative multiagent systems: A Genetic Network Programming approach

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@InProceedings{Naeini:2009:ieeeSMC,
  author =       "Armin Tavakoli Naeini and Mehran Ghaziasgar",
  title =        "Improving coordination via emergent communication in
                 cooperative multiagent systems: A Genetic Network
                 Programming approach",
  booktitle =    "IEEE International Conference on Systems, Man and
                 Cybernetics, 2009. SMC 2009",
  year =         "2009",
  month =        "11-14 " # oct,
  pages =        "589--594",
  abstract =     "The design and development of strategies to coordinate
                 the actions of multiple agents is a central research
                 issue in the field of multiagent systems. To address
                 this issue, in our previously reported research we
                 proposed a novel methodology based on genetic network
                 programming (GNP) to allow agents in the pursuit domain
                 to autonomously learn an effective coordination
                 strategy in order to achieve group behaviour. GNP is a
                 newly developed evolutionary computation (EC) technique
                 whose genome is network structure. In this paper, we
                 extend our methodology by allowing agents in the
                 pursuit domain to autonomously learn communication. We
                 consider autonomous and independently learning agents,
                 and we seek to obtain an optimal solution for the team
                 as a whole. We design a novel methodology for the
                 emergence of communication between agents in
                 cooperative multiagent systems based on GNP and we seek
                 to obtain more coordination. Through simulations, we
                 demonstrate that the proposed approach is effective in
                 evolving communicating agents and furthermore a
                 comparison is made between agents with and without
                 communication in order to show that the emergent
                 communication among agents is beneficial i.e., improves
                 their coordination. In addition, we show the robustness
                 of generated programs which is achieved as a
                 side-effect of the capability of communication.",
  keywords =     "genetic algorithms, genetic programming, genetic
                 network programming, cooperative multiagent systems,
                 evolutionary computation, evolutionary computation,
                 multi-agent systems",
  DOI =          "doi:10.1109/ICSMC.2009.5346622",
  ISSN =         "1062-922X",
  notes =        "Also known as \cite{5346622}",
}

Genetic Programming entries for Armin Tavakoli Naeini Mehran Ghaziasgar

Citations