• DocumentCode
    1873149
  • Title

    Automated Verification of Goal Net Models

  • Author

    Ngo, Minh Ngoc ; Shen, Zhiqi ; Miao Chun Yan

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
  • fYear
    2010
  • fDate
    10-12 Dec. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Multi-agent systems are increasingly complex and the problem of their verification is acquiring increasing importance. Most of the existing approaches are based on model checking techniques which require system specification in a formal language. This is an error-prone task and can only be performed by experts who have considerable experiences in logic reasoning. We proposed in this paper an easy-to-use approach to the verification of multi-agent systems based on the Goal Net modeling methodology. Goal Net is a goal-oriented framework which aspires to simplify the process of designing and implementing multi-agent systems. In our approach, a multi-agent system is modeled as a goal net. The goal net and its properties will be automatically converted into FSP (Finite State Processes) specification, which can be automatically verified by the model checker LTSA (Labeled Transition System Analyzer).
  • Keywords
    finite state machines; formal specification; formal verification; multi-agent systems; FSP; Goal Net model; LTSA; automated verification; finite state processes specification; formal language; goal-oriented framework; labeled transition system analyzer; model checking technique; multiagent system; system specification; Analytical models; Computational modeling; Conferences; Multiagent systems; Silicon; Software engineering; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering (CiSE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5391-7
  • Electronic_ISBN
    978-1-4244-5392-4
  • Type

    conf

  • DOI
    10.1109/CISE.2010.5676884
  • Filename
    5676884