Modelling and executing complex and dynamic business processes by reification of agent interactions

Marco Stuit*, Nick B. Szirbik

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    13 Citations (Scopus)

    Abstract

    Interaction refers to an abstract and intangible concept. In modelling, intangible concepts can be embodied and made explicit. This allows to manipulate the abstractions and to build predictable designs. Business processes in organisations are in fact reducible to interactions, especially when agent-oriented modelling methods are employed. Business processes represented as interaction structures can appear at different levels of abstraction. There is a compositional coupling between these levels, and this necessitates a method that allows dynamic de/re-composition of hierarchically organised interactions. We introduce the novel concepts that allow interaction-based diagramming and explain the syntax and semantics of these constructs. Finally, we argue that a business process composition with interactions allows more organisational flexibility and agent autonomy, providing a better approach in complex and dynamic situations than current solutions.

    Original languageEnglish
    Title of host publicationEngineering Societies in the Agents World VII
    EditorsGMP O'Hare, A Ricci, MJ OGrady, O Dirkenelli
    Place of PublicationBERLIN
    PublisherSpringer
    Pages106-125
    Number of pages20
    ISBN (Print)978-3-540-75522-7
    Publication statusPublished - 2007
    Event7th International Workshop on Engineering Societies in the Agents World - , Ireland
    Duration: 6-Sept-20068-Sept-2006

    Publication series

    NameLECTURE NOTES IN ARTIFICIAL INTELLIGENCE
    PublisherSPRINGER-VERLAG BERLIN
    Volume4457
    ISSN (Print)0302-9743

    Other

    Other7th International Workshop on Engineering Societies in the Agents World
    Country/TerritoryIreland
    Period06/09/200608/09/2006

    Keywords

    • BEHAVIOR

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