Advertisement

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)

Abstract

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.

Keywords

Affective State Orbitofrontal Cortex Intelligent Agent Emotional Behavior Affective System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Ha, Y.G., Sohn, J.C., Cho, Y.J., Yoon, H.S.: Towards a Ubiquitous Robotic Companion: Design and Implementation of Ubiquitous Robotic Service Framework. ETRI Journal 27, 666–676 (2005)CrossRefGoogle Scholar
  2. 2.
    Nozawa, Y., Dohi, H., Iba, H., Ishizuka, M.: Humanoid Robot Presentation Controlled by Multimodal Presentation Markup Language MPML. In: IEEE Int’l. Workshop on Robot and Human Interactive Communication, Japan (2004)Google Scholar
  3. 3.
    Kim, K.H., Kim, H.K., Kim, J.S., Son, W.H., Lee, S.Y.: A Biosignal-Based Human Interface Controlling a Power-Wheelchair for People with Motor Disabilities. ETRI Journal 28, 111–114 (2006)CrossRefGoogle Scholar
  4. 4.
    Picard, R.W.: Affective Computing. MIT Press, Cambridge (1997)Google Scholar
  5. 5.
    Damasio, A.: Descarte’s error: Emotion, reason and the human brain. Harper Collins, NewYork (1994)Google Scholar
  6. 6.
    Arkin, R.C., Fujita, M., Takagi, T., Hasegawa, R.: An Ethological and Emotional Basis for Human-Robot Interaction. In: Proceedings of the IEEE/RSJ Int. Conference on Intelligent Robots and Systems (2002)Google Scholar
  7. 7.
    Breazeal, C.: Sociable machines: Expressive social exchange between humans and robots, Ph.D. dissertation, Dept. Elect. Eng. and Computer. Sci., MIT, Cambridge (2000)Google Scholar
  8. 8.
    Rolls, E.T.: The neural basis of emotion. In: Smelsner, N.J., Baltes, P.B. (eds.) International Encyclopedia of the Social and Behavioral Sciences, pp. 4444–4449. Pergamon, Amsterdam (2002)Google Scholar
  9. 9.
    Rolls, E.T.: Vision, emotion and memory: from neurophysiology to computation. In: Ono, T., Matsumoto, G., Llinas, R.R., Berthoz, A., Norgren, R., Nishijo, H., Tamura, R. (eds.) Cognition and Emotion in the Brain, pp. 547–573. Elsevier Science, Amsterdam (2003)Google Scholar
  10. 10.
    Greenfield, S.: Brain Story, BBC World Wide Publishing (2000)Google Scholar
  11. 11.
    Ekman, P.: Are there basic emotions? Psychological Review 99, 550–553 (1992)CrossRefGoogle Scholar

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

Personalised recommendations