• DocumentCode
    1614301
  • Title

    Multi-Agent simulation framework for interdisciplinary research in digital ecosystems

  • Author

    Kurz, Thomas ; Eder, Raimund ; Heistracher, Thomas J.

  • Author_Institution
    ITS Dept., Salzburg Univ. of Appl. Sci., Puch/Salzburg, Austria
  • fYear
    2009
  • Firstpage
    425
  • Lastpage
    429
  • Abstract
    The conceptualization and ongoing implementation of a network and service infrastructure for SMEs that bases on biologically inspired similes for service mediation needs thorough simulation and emulation capabilities that accompany that development. Digital ecosystems (DE) are demand-driven self-organising agent environments exhibiting complex behaviour during utilisation and growth. To optimise this infrastructure, the capability of modelling of central DE mechanisms is a key success factor. In this paper the fully distributed evolutionary environment simulator (EvESim) is discussed that enriches the DE infrastructure by simulation and emulation capabilities for the benefit of interdisciplinary research.
  • Keywords
    digital simulation; evolutionary computation; multi-agent systems; small-to-medium enterprises; DE mechanism; EvESim; SME; demand-driven self-organising agent environment; digital ecosystem; distributed evolutionary environment simulator; interdisciplinary research; medium-sized enterprise; multiagent simulation framework; Biological system modeling; Biology; Computational modeling; Ecosystems; Electronic mail; Emulation; Genetic algorithms; Mediation; Multiagent systems; Visualization; biocomputing; digital ecosystems; multi-agent system; simulation framework;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Ecosystems and Technologies, 2009. DEST '09. 3rd IEEE International Conference on
  • Conference_Location
    Istanbul
  • Print_ISBN
    978-1-4244-2345-3
  • Electronic_ISBN
    978-1-4244-2346-0
  • Type

    conf

  • DOI
    10.1109/DEST.2009.5276715
  • Filename
    5276715