• DocumentCode
    3307380
  • Title

    Common Hybrid Agent Platform -- Sustaining the Collective

  • Author

    Serban, Radu ; Guo, Hongliang ; Salden, Alfons

  • Author_Institution
    Almende BV, Rotterdam, Netherlands
  • fYear
    2012
  • fDate
    8-10 Aug. 2012
  • Firstpage
    420
  • Lastpage
    427
  • Abstract
    Agent-based modeling and simulation tools have been mainly focusing on creating standalone applications based on some client-server model. There has been little or no focus on developing support for easy adaptation and evolution of application data models and logics, support for integration and deployment on other types of enabling infrastructures such as mesh or mobile ad-hoc networks, or synthesis with other existing applications. To simultaneously address these issues we present our Common Hybrid Agent Platform (CHAP) as a means to create and sustain multi-agent systems as a part of the collective of humans and ICT systems. CHAP assets are presented and involve a general-purpose associative memory, a set of reusable AI modules, a re-configurable agent component deployment engine, and a toolset for data synchronization and visualization, all of which can be tuned and adapted to a particular application or business domain using diverse (enabling) ICT infrastructures.
  • Keywords
    artificial intelligence; client-server systems; content-addressable storage; data models; data visualisation; multi-agent systems; synchronisation; CHAP assets; ICT infrastructures; ICT systems; agent-based modeling; agent-based simulation tools; application data logics; application data models; business domain; client-server model; common hybrid agent platform; data synchronization; data visualization; enabling infrastructures; general-purpose associative memory; integration support; mesh ad-hoc networks; mobile ad-hoc networks; multiagent systems; reconfigurable agent component deployment engine; reusable AI modules; standalone applications; Adaptation models; Artificial intelligence; Data models; Engines; Humans; Middleware; development environment; multi-agent systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering, Artificial Intelligence, Networking and Parallel & Distributed Computing (SNPD), 2012 13th ACIS International Conference on
  • Conference_Location
    Kyoto
  • Print_ISBN
    978-1-4673-2120-4
  • Type

    conf

  • DOI
    10.1109/SNPD.2012.110
  • Filename
    6299315