IDEAS home Printed from https://ideas.repec.org/a/cmj/interc/y2016i37p273-279.html
   My bibliography  Save this article

Cognitive Systems. Redefining The Cooperation Between Man And System

Author

Listed:
  • Diana-Aderina MOISUC

    (Faculty of Economics and Business Administration, Babeş–Bolyai University of Cluj-Napoca)

  • Mihai-Constantin AVORNICULUI

    (Faculty of Economics and Business Administration, Babeş–Bolyai University of Cluj-Napoca)

  • Melinda Timea FÜLÖP

    (Faculty of Economics and Business Administration, Babeş–Bolyai University of Cluj-Napoca)

Abstract

Cognitive systems appeared as a response to the real challenges brought by the Big Data phenomenon. It was found that the solutions for solving difficult problems caused by this phenomenon could be brought by using artificial intelligence tools. In this context a convergence between Big Data and Artificial Intelligence happened, which determined the start of a new stage in system development, namely the era of cognitive systems. The potential of these systems is given by the characteristics that differentiate them from other systems. The cognitive systems offered solutions and were used with success in complex projects from the medical and financial sectors. The architecture of cognitive systems is complex. These systems are designed so that they use artificial intelligence tools when processing source content, producing analytical solutions which can be used in the decision process. In this paper base concepts, the characteristics and architecture of cognitive systems, the benefits brought by the development and use of them were presented.

Suggested Citation

  • Diana-Aderina MOISUC & Mihai-Constantin AVORNICULUI & Melinda Timea FÜLÖP, 2016. "Cognitive Systems. Redefining The Cooperation Between Man And System," Management Intercultural, Romanian Foundation for Business Intelligence, Editorial Department, issue 37, pages 273-279, December.
    • Handle: RePEc:cmj:interc:y:2016:i:37:p:273-279
    as

    Download full text from publisher

    File URL: http://seaopenresearch.eu/Journals/articles/MI_37_37.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Cognitive systems; Big Data; Natural Language Processing; Machine Learning;
    All these keywords.

    JEL classification:

    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management

    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:cmj:interc:y:2016:i:37:p:273-279. 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: Serghie Dan (email available below). General contact details of provider: https://seaopenresearch.eu/ .

    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.