IDEAS home Printed from https://ideas.repec.org/a/igg/jcini0/v1y2007i4p1-13.html
   My bibliography  Save this article

On the Cognitive Processes of Human Perception with Emotions, Motivations, and Attitudes

Author

Listed:
  • Yingxu Wang

    (University of Calgary, Canada)

Abstract

An interactive motivation-attitude theory is developed based on the Layered Reference Model of the Brain (LRMB) and the object-attribute-relation (OAR) model. This paper presents a rigorous model of human perceptual processes such as emotions, motivations, and attitudes. A set of mathematical models and formal cognitive processes of perception is developed. Interactions and relationships between motivation and attitude are formally described in real-time process algebra (RTPA). Applications of the mathematical models of motivations and attitudes in software engineering are demonstrated. This work is a part of the formalization of LRMB, which provides a comprehensive model for explaining the fundamental cognitive processes of the brain and their interactions. This work demonstrates that the complicated human emotional and perceptual phenomena can be rigorously modeled and formally treated based on cognitive informatics theories and denotational mathematics.

Suggested Citation

  • Yingxu Wang, 2007. "On the Cognitive Processes of Human Perception with Emotions, Motivations, and Attitudes," International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), IGI Global, vol. 1(4), pages 1-13, October.
    • Handle: RePEc:igg:jcini0:v:1:y:2007:i:4:p:1-13
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jcini.2007100101
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Amat Mukhadis & Nurul Ulfatin, 2017. "Integrated learning of shared model based gallery project to improve research capabilities of educational students," Journal of Social Sciences (COES&RJ-JSS), , vol. 6(3), pages 491-503, July.
    2. Hannah Charlotte Joos, 2019. "Influences on managerial perceptions of stakeholder salience: two decades of research in review," Management Review Quarterly, Springer, vol. 69(1), pages 3-37, February.
    3. Emilio M. Santandreu & Joaquín López Pascual & Salvador Cruz Rambaud, 2020. "Determinants of Repayment among Male and Female Microcredit Clients in the USA. An Approach Based on Managers’ Perceptions," Sustainability, MDPI, vol. 12(5), pages 1-17, February.

    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:igg:jcini0:v:1:y:2007:i:4:p:1-13. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.