IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/107246.html
   My bibliography  Save this article

Reorganizing Complex Network to Improve Large-Scale Multiagent Teamwork

Author

Listed:
  • Yang Xu
  • Pengfei Liu
  • Xiang Li

Abstract

Large-scale multiagent teamwork has been popular in various domains. Similar to human society infrastructure, agents only coordinate with some of the others, with a peer-to-peer complex network structure. Their organization has been proven as a key factor to influence their performance. To expedite team performance, we have analyzed that there are three key factors. First, complex network effects may be able to promote team performance. Second, coordination interactions coming from their sources are always trying to be routed to capable agents. Although they could be transferred across the network via different paths, their sources and sinks depend on the intrinsic nature of the team which is irrelevant to the network connections. In addition, the agents involved in the same plan often form a subteam and communicate with each other more frequently. Therefore, if the interactions between agents can be statistically recorded, we are able to set up an integrated network adjustment algorithm by combining the three key factors. Based on our abstracted teamwork simulations and the coordination statistics, we implemented the adaptive reorganization algorithm. The experimental results briefly support our design that the reorganized network is more capable of coordinating heterogeneous agents.

Suggested Citation

  • Yang Xu & Pengfei Liu & Xiang Li, 2014. "Reorganizing Complex Network to Improve Large-Scale Multiagent Teamwork," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-12, April.
  • Handle: RePEc:hin:jnlmpe:107246
    DOI: 10.1155/2014/107246
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2014/107246.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/MPE/2014/107246.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2014/107246?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jnlmpe:107246. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.