• DocumentCode
    2507167
  • Title

    Small-world topology for multi-agent collaboration

  • Author

    Aguirre, Carlos ; Martinez-Munoz, J. ; Corbacho, Fernando ; Huerta, Ramón

  • Author_Institution
    Dept. of Comput. Eng., Univ. Autonoma de Madrid, Spain
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    231
  • Lastpage
    235
  • Abstract
    This paper studies a specific methodology for the design of different topologies in multi-agent networks with the central objective of maximizing agent collaboration. In order to obtain this feature we rely on the use of a recently discovered type of topology, namely the “small world” (SW) topology. This topology has been shown to present several advantages such as enhancement of signal-propagation speed computational power, and synchronizability. We have extended the analysis to multi-agent networks searching for the topologies that maximize the flow of entities (data, energy, goods, etc.) with different complexities in the behaviour of each agent in the network
  • Keywords
    multi-agent systems; topology; agent collaboration; multi-agent collaboration; signal-propagation speed computational power; small-world topology; synchronizability; Artificial intelligence; Assembly systems; Autonomous agents; Collaboration; Costs; Design methodology; Maintenance; Network topology; Signal analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database and Expert Systems Applications, 2000. Proceedings. 11th International Workshop on
  • Conference_Location
    London
  • ISSN
    1529-4188
  • Print_ISBN
    0-7695-0680-1
  • Type

    conf

  • DOI
    10.1109/DEXA.2000.875032
  • Filename
    875032