Improving Adaptiveness in Autonomous Characters
- 2k Downloads
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.
KeywordsSuccess Probability Autonomous Agent Autobiographic Memory Improve Adaptiveness Empathic Process
Unable to display preview. Download preview PDF.
- 1.Damasio, A.: Descartes’ Error: Emotion, Reason and the Human Brain. Gosset/Putnam Press, New York (1994)Google Scholar
- 4.Hogan, R.: Development of an empathy scale. Journal of Consulting and Clinical Psychology (35), 307–316 (1977)Google Scholar
- 5.Hoffman, M.L.: Empathy, its development and prosocial implications. In: Nebraska Symposium on Motivation, vol. 25, pp. 169–217 (1977)Google Scholar
- 8.Bratman, M.E.: Intention, Plans and Practical Reasoning. Harvard University Press, Cambridge (1987)Google Scholar
- 9.Ortony, A., Clore, G., Collins, A.: The cognitive structure of emotions. Cambridge University Press, Cambridge (1988)Google Scholar
- 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.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.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.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.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.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