IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-0-306-47467-5_96.html

Qualitative Modelling of Information Systems

In: Synergy Matters

Author

Listed:
  • J Korn

    (Middlesex University, Visiting Academic)

Abstract

Conclusions A concept of information has been introduced based on the well known subject-predicate form which fits into linguistic modelling of information systems. Since the behaviour of living, especially human, beings is by and large unpredictable, repeatability cannot be taken for granted in constructing a formal model. Thus, the model presented here can only say that if objects possess the given features and behave in the manner specified then the computed outcomes will occur. It is stipulated that the structure of a situation given in terms of objects and interactions remains invariant over a time span but their modifiers expressed as personality profiles, are allowed to fluctuate due to moods, human frailty, competence etc. The effect of fluctuations on the occurrence of outcomes possibly over time can be assessed. It has been demonstrated that the number of states in which a situation can find itself due to fluctuation of modifiers, rapidly expands leading to some form of a chaotic operation. The expansion can be checked by introducing limiting criteria through certainty factors carried by calculating properties (cp) and explicit purposive systems. The example considered shows information as understood here and as carried by medium. The latter can be eliminated by rewording the sentences : ‘Customer communicates with the clerk that he requires certain items’, for example.

Suggested Citation

  • J Korn, 2002. "Qualitative Modelling of Information Systems," Springer Books, in: Adrian M. Castell & Amanda J. Gregory & Giles A. Hindle & Mathew E. James & Gillian Ragsdell (ed.), Synergy Matters, chapter 96, pages 571-576, Springer.
  • Handle: RePEc:spr:sprchp:978-0-306-47467-5_96
    DOI: 10.1007/0-306-47467-0_96
    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
    for a similarly titled item that would be available.

    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:spr:sprchp:978-0-306-47467-5_96. 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.