IDEAS home Printed from https://ideas.repec.org/a/wly/syseng/v24y2021i1p3-16.html
   My bibliography  Save this article

Formal reasoning of knowledge in systems engineering through epistemic modal logic

Author

Listed:
  • Hanumanthrao Kannan

Abstract

Large‐scale systems engineering projects consist of hundreds to thousands of agents (stakeholders, managers, designers, etc.) spread across the organizational hierarchy. Each of these agents possesses knowledge in some form or the other, be it the knowledge of stakeholder needs, domain‐specific knowledge, knowledge of rules and regulations, knowledge gained from experience on previous projects, etc. It is important to formally represent this knowledge possessed by various agents in the systems engineering lifecycle, as this will enable knowledge reuse, reasoning capabilities, inferring new knowledge, and mitigate misinterpretation of knowledge as prevalent in document‐centric approaches. Such a formal representation will also help alleviate some of the challenges posed by the current document‐centric approaches concerning project delays and cost overruns in the development of large‐scale systems. This paper focuses on formally representing knowledge that exists in various phases of the systems engineering lifecycle by leveraging epistemic modal logic. Descriptive examples are used to demonstrate the practical reasoning capabilities of such a formal representation of knowledge in systems engineering projects.

Suggested Citation

  • Hanumanthrao Kannan, 2021. "Formal reasoning of knowledge in systems engineering through epistemic modal logic," Systems Engineering, John Wiley & Sons, vol. 24(1), pages 3-16, January.
  • Handle: RePEc:wly:syseng:v:24:y:2021:i:1:p:3-16
    DOI: 10.1002/sys.21563
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/sys.21563
    Download Restriction: no

    File URL: https://libkey.io/10.1002/sys.21563?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Abbas,Ali E., 2018. "Foundations of Multiattribute Utility," Cambridge Books, Cambridge University Press, number 9781107150904.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Andrea C. Hupman, 2022. "Cutoff Threshold Decisions for Classification Algorithms with Risk Aversion," Decision Analysis, INFORMS, vol. 19(1), pages 63-78, March.
    2. George Athanasopoulos & Nikolaos Kourentzes, 2021. "On the Evaluation of Hierarchical Forecasts," Monash Econometrics and Business Statistics Working Papers 10/21, Monash University, Department of Econometrics and Business Statistics.
    3. Abbas, Ali E. & Hupman, Andrea C., 2023. "Scale dependence in weight and rate multicriteria decision methods," European Journal of Operational Research, Elsevier, vol. 309(1), pages 225-235.
    4. Mauricio Lopez-Mendez & Rowan Iskandar & Eric Jutkowitz, 2023. "Individual and Dyadic Health-Related Quality of Life of People Living with Dementia and their Caregivers," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 18(4), pages 1673-1692, August.
    5. Ali E. Abbas & Zhengwei Sun, 2019. "Archimedean Utility Copulas with Polynomial Generating Functions," Decision Analysis, INFORMS, vol. 16(3), pages 218-237, September.
    6. Athanasopoulos, George & Kourentzes, Nikolaos, 2023. "On the evaluation of hierarchical forecasts," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1502-1511.

    More about this item

    Statistics

    Access and download statistics

    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:wly:syseng:v:24:y:2021:i:1:p:3-16. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1002/(ISSN)1520-6858 .

    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.