IDEAS home Printed from https://ideas.repec.org/h/spr/lnichp/978-3-319-30133-4_10.html
   My bibliography  Save this book chapter

Optimal Requirements—Dependent Model-Driven Agent Development

In: Transforming Healthcare Through Information Systems

Author

Listed:
  • Joshua Z. Goncalves

    (Curtin University)

  • Aneesh Krishna

    (Curtin University)

Abstract

The Belief-Desire-Intention (BDI) agent architecture is a favored agent development architecture known for its distinct abstraction between components and flexibility in determining its actions. This determination is handled through a plan selection function which determines the most appropriate plan or action. Recent years have seen various forms of extensions to this architecture, including a model-driven creation approach based around the Extended Non-functional requirements framework (ENFR). Non-functional requirements illustrate parts of a system which must be satisfied to an appropriate extent. The model-driven approach within this paper uses components from this framework to formulate plans governed by their contribution to these requirements. This is done in an optimized manner to ensure the selected plan is optimal with regards to the systems attainment. This paper presents our optimized model-driven agent development approach, demonstrating its conversion from the initial ENFR model into a completely optimized agent. The approach is verified through empirical analysis.

Suggested Citation

  • Joshua Z. Goncalves & Aneesh Krishna, 2016. "Optimal Requirements—Dependent Model-Driven Agent Development," Lecture Notes in Information Systems and Organization, in: Doug Vogel & Xitong Guo & Henry Linger & Chris Barry & Michael Lang & Christoph Schneider (ed.), Transforming Healthcare Through Information Systems, edition 1, pages 135-151, Springer.
    • Handle: RePEc:spr:lnichp:978-3-319-30133-4_10
    DOI: 10.1007/978-3-319-30133-4_10
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:lnichp:978-3-319-30133-4_10. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.