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    Agent-based Prototyping of Web-based Systems

    Access Status
    Fulltext not available
    Authors
    Krishna, Aneesh
    Guan, Y.
    Sambattheera, C.
    Ghose, A.
    Date
    2006
    Type
    Conference Paper
    
    Metadata
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    Citation
    Krishna, A. and Guan, Y. and Sambattheera, C. and Ghose, A. 2006. Agent-based Prototyping of Web-based Systems, in Moonis, A. and Dapoigny, R. (ed), Proceedings of the 19th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE), Jun 27-30 2006, pp. 780-789. Annecy, France: Springer-Verlag.
    Source Title
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Source Conference
    19th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA-AIE-2006)
    DOI
    10.1007/11779568_84
    ISSN
    03029743
    URI
    http://hdl.handle.net/20.500.11937/11086
    Collection
    • Curtin Research Publications
    Abstract

    Agent-oriented conceptual modelling in notations such as the i* framework [13] have gained considerable currency in the recent past. Such notations model organizational context and offer high-level social/ anthropo-morphic abstractions (such as goals, tasks, softgoals and dependencies) as modelling constructs. It has been argued that such notations help answer questions such as what goals exist, how key actors depend on each other and what alternatives must be considered. Our contribution in this paper is to show an approach to executing high-level requirements models represented in the i* agent-oriented conceptual modelling language. We achieve this by translating these models into sets of interacting agents implemented in the 3APL language. This approach enables us to analyze early phase system models by performing rule-/consistency-checking at higher-levels of abstraction. We show how this approach finds special application in the analysis of high-level models of a web-based system.

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