• DocumentCode
    2301977
  • Title

    Multi-agent models in workflow design

  • Author

    Cicortas, Al ; Iordan, V.

  • Author_Institution
    Fac. of Math. & Comput. Sci., West Univ. of Timisoara, Timisoara, Romania
  • fYear
    2009
  • fDate
    28-29 May 2009
  • Firstpage
    527
  • Lastpage
    532
  • Abstract
    The complexity of real systems requires that existent applications integration. It is a strong requirement the integration applications of real systems due their complexity. The multi-agent concepts are used for integration of workflow management systems (WFMSs) in order to assure an efficient decision making. During the last two decades many models were proposed and developed in that the agents are used during the design and execution of WFMSs. One of the most important features in the requirements for integration is the coordination that must be designed in an appropriate way. The ontology constitutes the basis for the integration in the context of multi-agent system. It allows that the system components and the agents have a common understanding for their actions. Between other requirements, the capability of reengineering in the case of failures is mandatory for workflow modeling and design. The paper reviews the above problems and present many of the major solutions developed on date.
  • Keywords
    decision support systems; multi-agent systems; workflow management software; decision making; multiagent system; workflow design; workflow management systems; workflow modeling; Collaborative work; Computational intelligence; Computer science; Informatics; Mathematical model; Mathematics; Multiagent systems; Resource management; Supply chain management; Workflow management software; multi-agent systems; workflow design; workflow integration; workflow management systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Computational Intelligence and Informatics, 2009. SACI '09. 5th International Symposium on
  • Conference_Location
    Timisoara
  • Print_ISBN
    978-1-4244-4477-9
  • Electronic_ISBN
    978-1-4244-4478-6
  • Type

    conf

  • DOI
    10.1109/SACI.2009.5136305
  • Filename
    5136305