An Emotional Architecture for Virtual Characters

  • Ricardo Imbert
  • Angélica de Antonio
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3805)


This paper presents the mechanisms proposed by a generic cognitive architecture for virtual characters with emotional influenced behaviors, called cognitiva, to maintain behavior control at will without giving up the richness provided by emotions. This architecture, together with a progressive specification process for its application, have been used successfully to model 3D intelligent virtual actors for virtual storytelling.


Personality Trait Autonomous Agent Cognitive Module Fairy Tale Perceptual Module 
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.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Davis, D.N., Lewis, S.J.: Computational models of emotion for autonomy and reasoning. Informatica (Special Edition on Perception and Emotion Based Reasoning) 27(2), 159–165 (2003)zbMATHGoogle Scholar
  2. 2.
    Picard, R.W.: Affective computing. Technical Report 321, MIT Media Laboratory, Perceptual Computing Section (November 1995)Google Scholar
  3. 3.
    LeDoux, J.: The Emotional Brain. Simon and Schuster, New York (1996)Google Scholar
  4. 4.
    Adolphs, R., Tranel, D., Bechara, A., Damasio, H., Damasio, A.R.: Neuropsychological Approaches to Reasoning and Decision-Making. In: Neurobiology of Decision-Making, pp. 157–179. Springer, Berlin (1996)Google Scholar
  5. 5.
    Damasio, A.R.: Descartes’ Error. Emotion, Reason, and the Human Brain. Gosset/Putnam Press, New York (1994)Google Scholar
  6. 6.
    Pierce, C.S.: Collected Papers. The Belknap Press of Harvard University Press, Cambridge (1965)Google Scholar
  7. 7.
    Seif El-Nasr, M., Yen, J., Ioerger, T.R.: FLAME — a fuzzy logic adaptive model of emotions. Autonomous Agents and Multi-Agent Systems 3(3), 219–257 (2000)CrossRefGoogle Scholar
  8. 8.
    Ortony, A., Clore, G., Collins, A.: The Cognitive Structure of Emotions. Cambridge University Press, Cambridge (1988)Google Scholar
  9. 9.
    Elliott, C.: I picked up catapia and other stories: A multimodal approach to expressivity for “emotionally intelligent” agents. In: Proceedings of the First International Conference on Autonomous Agents (Agents 1997), New York, pp. 451–457. ACM Press, New York (1997)CrossRefGoogle Scholar
  10. 10.
    Staller, A., Petta, P.: Introducing emotions in the computational study of norms. In: Proceedings of the AISB 2000 Sympoisum on Starting from Society -The Application of Social Analogies to Computational Systems, UK, pp. 101–112 (2000)Google Scholar
  11. 11.
    Allen, S.R.: Concern Processing in Autonomous Agents. PhD thesis, Faculty of Science of The University of Birmingham, School of Computer Science. Cognitive Science Research Centre. The University of Birmingham, UK (2001)Google Scholar
  12. 12.
    Cañamero, D.: Modeling motivations and emotions as a basis for intelligent behavior. In: Proceedings of the First International Symposium on Autonomous Agents (Agents 1997), pp. 148–155. ACM Press, New York (1997)CrossRefGoogle Scholar
  13. 13.
    Gadanho, S.C.: Learning behavior-selection by emotions and cognition in a multi-goal robot task. Journal of Machine Learning Research 4, 385–412 (2003)CrossRefGoogle Scholar
  14. 14.
    de Sevin, E., Thalmann, D.: An affective model of action selection for virtual humans. In: Proceedings of Agents that Want and Like: Motivational and Emotional Roots of Cognition and Action Symposium at the Artificial Intelligence and Social Behaviors 2005 Conference (AISB 2005), Hatfield, UK (2005)Google Scholar
  15. 15.
    Imbert, R., de Antonio, A.: Using progressive adaptability against the complexity of modeling emotionally influenced virtual agents. In: Proceedings of the 18th International Conference on Computer Animation and Social Agents (CASA 2005), Hong Kong, China (2005)Google Scholar
  16. 16.
    Imbert, R., de Antonio, A.: When emotion does not mean loss of control. In: Panayiotopoulos, T., Gratch, J., Aylett, R.S., Ballin, D., Olivier, P., Rist, T., et al. (eds.) IVA 2005. LNCS (LNAI), vol. 3661, pp. 152–165. Springer, Heidelberg (2005)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Ricardo Imbert
    • 1
  • Angélica de Antonio
    • 1
  1. 1.Facultad de InformáticaUniversidad Politécnica de MadridBoadilla del Monte, MadridSpain

Personalised recommendations