• DocumentCode
    1372443
  • Title

    Self-Adaptation Using Multiagent Systems

  • Author

    Weyns, Danny ; Georgeff, Michael

  • Author_Institution
    DistriNet Labs., Katholieke Univ. Leuven, Leuven, Belgium
  • Volume
    27
  • Issue
    1
  • fYear
    2010
  • Firstpage
    86
  • Lastpage
    91
  • Abstract
    Each decade has its key software technology to advance artificial intelligence, and each technology is highlighted in a novel that sells much better than the underlying technology. Who hasn´t read Michael Crichton´s Prey and wondered how far multiagent systems might evolve and how they might affect humankind? Our technology column digs into this topic in this issue. Danny Weyns and Michael Georgeff provide a short introduction and show how multiagent systems help master the complexity of self-adaptive systems. They contrast multiagent systems with other current technologies and provide links and hints for practitioners who want to get started with this emerging field.
  • Keywords
    multi-agent systems; self-adjusting systems; systems analysis; artificial intelligence; multiagent system; systems self-adaptation; Artificial intelligence; Multiagent systems; multiagent systems; software engineering;
  • fLanguage
    English
  • Journal_Title
    Software, IEEE
  • Publisher
    ieee
  • ISSN
    0740-7459
  • Type

    jour

  • DOI
    10.1109/MS.2010.18
  • Filename
    5370765