A Neuroscientific Approach to Emotion System for Intelligent Agents

  • Gunn-Yong Park
  • Seung-Ik Lee
  • Joong-Bae Kim
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4096)


For an agent to be believable, emotion is an essential part of the human-computer interaction. In this paper, we propose a dynamic affective system, inspired from neuroscience. The system comprises four modules: an appraisal module, an emotion-generation module, an emotional expression module, and a long-term memory (LTM). The appraisal module gathers environmental stimuli and evaluates them to see if they are rewarding or punishing. Based on the results of the appraisal module and the agent’s internal stimuli, the emotion-generation module generates the affective states of the agent. The emotional expression module combines and expresses emotional behaviors in accordance with the affective states. As a result, the proposed affective system can generate various emotions simultaneously and produces emotional life-like expressions.


Affective State Orbitofrontal Cortex Intelligent Agent Emotional Behavior Affective System 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Gunn-Yong Park
    • 1
    • 2
  • Seung-Ik Lee
    • 1
    • 2
  • Joong-Bae Kim
    • 1
  1. 1.Intelligent Robot Research DivisionElectronics and Telecommunications Research InstituteDaejeonKorea
  2. 2.Computer Software Engineer DivisionUniversity of Science and TechnologyDaejeonKorea

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