Advertisement

Improving Adaptiveness in Autonomous Characters

  • Mei Yii Lim
  • João Dias
  • Ruth Aylett
  • Ana Paiva
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5208)

Abstract

Much research has been carried out to build emotion regulation models for autonomous agents that can create suspension of disbelief in human audiences or users. However, most models up-to-date concentrate either on the physiological aspect or the cognitive aspect of emotion. In this paper, an architecture to balance the Physiological vs Cognitive dimensions for creation of life-like autonomous agents is proposed. The resulting architecture will be employed in ORIENT which is part of the EU-FP6 project eCircus. An explanation of the existing architecture, FAtiMA focusing on its benefits and flaws is provided. This is followed by a description of the proposed architecture that combines FAtiMA and the PSI motivational system. Some inspiring work is also reviewed. Finally, a conclusion and directions for future work are given.

Keywords

Success Probability Autonomous Agent Autobiographic Memory Improve Adaptiveness Empathic Process 
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.
    Damasio, A.: Descartes’ Error: Emotion, Reason and the Human Brain. Gosset/Putnam Press, New York (1994)Google Scholar
  2. 2.
    Niedenthal, P.M.: Embodying emotion. Science 316, 1002–1005 (2007)CrossRefGoogle Scholar
  3. 3.
    Elfenbein, H.A., Ambady, N.: Universals and cultural differences in recognizing emotions of a different cultural group. Current Directions in Psychological Science 5(12), 159–164 (2003)CrossRefGoogle Scholar
  4. 4.
    Hogan, R.: Development of an empathy scale. Journal of Consulting and Clinical Psychology (35), 307–316 (1977)Google Scholar
  5. 5.
    Hoffman, M.L.: Empathy, its development and prosocial implications. In: Nebraska Symposium on Motivation, vol. 25, pp. 169–217 (1977)Google Scholar
  6. 6.
    Ho, W.C., Dautenhahn, K., Nehaniv, C.L.: Computational memory architectures for autobiographic agents interacting in a complex virtual environment: A working model. Connection Science 20(1), 21–65 (2008)CrossRefGoogle Scholar
  7. 7.
    Dias, J., Paiva, A.: Feeling and reasoning: A computational model for emotional agents. In: Bento, C., Cardoso, A., Dias, G. (eds.) EPIA 2005. LNCS (LNAI), vol. 3808, pp. 127–140. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  8. 8.
    Bratman, M.E.: Intention, Plans and Practical Reasoning. Harvard University Press, Cambridge (1987)Google Scholar
  9. 9.
    Ortony, A., Clore, G., Collins, A.: The cognitive structure of emotions. Cambridge University Press, Cambridge (1988)Google Scholar
  10. 10.
    Aylett, R., Dias, J., Paiva, A.: An affectively driven planner for synthetic characters. In: International Conference on Automated Planning and Scheduling (ICAPS 2006), UK (2006)Google Scholar
  11. 11.
    Marsella, S., Johnson, B., LaBore, C.: Interactive pedagogical drama. In: Fourth International Conference on Autonomous Agents (AAMAS), Bologna, Italy, pp. 301–308. ACM Press, New York (2002)Google Scholar
  12. 12.
    Dörner, D.: The mathematics of emotions. In: Frank Detje, D.D., Schaub, H. (eds.) Proceedings of the Fifth International Conference on Cognitive Modeling, Bamberg, Germany (April 10-12, 2003), pp. 75–79 (2003)Google Scholar
  13. 13.
    Lim, M.Y.: Emotions, Behaviour and Belief Regulation in An Intelligent Guide with Attitude. PhD thesis, School of Mathematical and Computer Sciences, Heriot-Watt University, Ediburgh, Edinburgh (2007)Google Scholar
  14. 14.
    Cañamero, D.: A hormonal model of emotions for behavior control. In: VUB AI-Lab Memo 1997-2006, Vrije Universiteit Brussel, Belgium (1997)Google Scholar
  15. 15.
    Velásquez, J.D.: Modeling emotions and other motivations in synthetic agents. In: Proceeding AAAI 1997, pp. 10–15. AAAI Press and The MIT Press (1997)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Mei Yii Lim
    • 1
  • João Dias
    • 2
  • Ruth Aylett
    • 1
  • Ana Paiva
    • 2
  1. 1.School of Mathematical and Computer SciencesHeriot Watt UniversityEdinburghScotland
  2. 2.INESC-ID, IST, TagusparkPorto SalvoPortugal

Personalised recommendations