An agent-oriented approach to modeling distributed learning systems

Fuhua Lin, Pete Holt, Steve Leung, Chris Maton, Conrad Holmberg

    Research output: Chapter in Book/Report/Conference proceedingPublished Conference contributionpeer-review

    Abstract

    This paper presents an agent-oriented approach to modeling software systems for distributed learning to increase the functionality and flexibility of the systems and meet the requirements from the resource-oriented nature of distributed learning environments. We model a distributed learning software system as a multi-agent system using an open collaborative agent system architecture. To overcome the difficulty in deciding what agents we should construct and knowing their relationships, we start the modeling process with identifying the main educational components and the dependency of these components. Meanwhile, in order to facilitate specifying conversation patterns and implementing conversation managers, we examine the workflow of the educational tasks in distributed learning environments. We believe that this approach can be an important step to overcome the software engineering challenges arose in large-scale distributed adaptive learning environments (DALE).

    Original languageEnglish
    Title of host publicationProceedings of the 6th IASTED International Conference on Software Engineering and Applications, SEA 2002
    Pages124-129
    Number of pages6
    Publication statusPublished - 2012
    Event6th IASTED International Conference on Software Engineering and Applications, SEA 2002 - Cambridge, MA, United States
    Duration: 4 Nov. 20026 Nov. 2002

    Publication series

    NameProceedings of the 6th IASTED International Conference on Software Engineering and Applications, SEA 2002

    Conference

    Conference6th IASTED International Conference on Software Engineering and Applications, SEA 2002
    Country/TerritoryUnited States
    CityCambridge, MA
    Period4/11/026/11/02

    Keywords

    • Agent-oriented modeling
    • Distributed learning
    • Software engineering

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