• DocumentCode
    2029906
  • Title

    Use of UML 2.1 to Model Multi-Agent Systems based on a Goal-driven Software Engineering Ontology

  • Author

    Wongthongtham, Pornpit ; Dillon, Darshan ; Dillon, Tharam ; Chang, Elizabeth

  • Author_Institution
    Digital Ecosyst. & Bus. Intell. Inst., Curtin Univ., Bently, WA
  • fYear
    2008
  • fDate
    3-5 Dec. 2008
  • Firstpage
    428
  • Lastpage
    432
  • Abstract
    In this paper, we present the use of UML 2.1 to model multi-agent systems based on a goal-driven software engineering ontology. The lack of an efficient standardized modeling language is evident. The uses of UML and stereotypes UML to model multi-agent systems have been proposed. However, there are still a number of issues with the existing approaches due to inconsistent semantics of the existing UML diagrams and unintuitive and complex notations. UML 2.1 allows representing more complex scenarios and introducing greater details into the modeling process enabling effective capture and representation of multi-agent actions and interactions. UML 2.1 has not only enabled the introduction of a notation for the Ontology based multi-agent systems, but also effective capture and representation of the dynamic processes associated with these the Ontology based multi-agent systems.
  • Keywords
    Unified Modeling Language; multi-agent systems; software engineering; UML 2.1; UML diagrams; goal-driven software engineering ontology; modeling process; multiagent actions; multiagent interactions; ontology based multiagent systems; standardized modeling language; stereotypes UML; Australia; Ecosystems; Humans; Intelligent agent; Multiagent systems; Ontologies; Power system modeling; Software agents; Software engineering; Unified modeling language; Multi-agent systems modelling; Software Engineering Ontology; UML 2.1;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semantics, Knowledge and Grid, 2008. SKG '08. Fourth International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-0-7695-3401-5
  • Electronic_ISBN
    978-0-7695-3401-5
  • Type

    conf

  • DOI
    10.1109/SKG.2008.45
  • Filename
    4725955