IDEAS home Printed from https://ideas.repec.org/a/igg/jcini0/v12y2018i4p81-100.html
   My bibliography  Save this article

A Flexible Scheme to Model the Cognitive Influence on Emotions in Autonomous Agents

Author

Listed:
  • Sergio Castellanos

    (Sonora Institute of Technology, Ciudad Obregón, Mexico)

  • Luis-Felipe Rodríguez

    (Sonora Institute of Technology, Ciudad Obregón, Mexico)

Abstract

Autonomous agents (AAs) are designed to embody the natural intelligence by incorporating cognitive mechanisms that are applied to evaluate stimuli from an emotional perspective. Computational models of emotions (CMEs) implement mechanisms of human information processing in order to provide AAs for a capability to assign emotional values to perceived stimuli and implement emotion-driven behaviors. However, a major challenge in the design of CMEs is how cognitive information is projected from the architecture of AAs. This article presents a cognitive model for CMEs based on appraisal theory aimed at modeling AAs' interactions between cognitive and affective processes. The proposed scheme explains the influence of AAs' cognition on emotions by fuzzy membership functions associated to appraisal dimensions. The computational simulation is designed in the context of an integrative framework to facilitate the development of CMEs, which are capable of interacting with cognitive components of AAs. This article presents a case study and experiment that demonstrate the functionality of the proposed models.

Suggested Citation

  • Sergio Castellanos & Luis-Felipe Rodríguez, 2018. "A Flexible Scheme to Model the Cognitive Influence on Emotions in Autonomous Agents," International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), IGI Global, vol. 12(4), pages 81-100, October.
    • Handle: RePEc:igg:jcini0:v:12:y:2018:i:4:p:81-100
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJCINI.2018100105
    Download Restriction: no
    ---><---

    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:12:y:2018:i:4:p:81-100. 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.