Abstract
The traditional consideration that intelligent behaviors can only be produced from pure reasoning fails when trying to explain most of human behaviors, in which the emotional component has a decisive weight. However, although many different efforts have been made to consider emotions in the rational process, emotion is still perceived by many research areas as a non-desirable quality for a computational system. This is not the case of the field of believable agents, where emotions are well respected, although they are sometimes associated to a certain loss of control.
This paper presents the mechanisms proposed by a generic cognitive architecture for agents with emotionally influenced behaviors, called cognitiva, to maintain behaviors control 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 agents.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
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)
Picard, R.W.: Affective computing. Technical Report 321, MIT Media Laboratory, Perceptual Computing Section (November 1995)
LeDoux, J.: The Emotional Brain. Simon and Schuster, New York (1996)
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)
Damasio, A.R.: Descartes’ Error. Emotion, Reason, and the Human Brain. Gosset/Putnam Press, New York (1994)
Elliott, C.: I picked up catapia and other stories: A multimodal approach to expressivity for emotionally intelligent agents. In: Johnson, W.L., Hayes-Roth, B. (eds.) Proceedings of the First International Conference on Autonomous Agents (Agents 1997), February 5-8, pp. 451–457. ACM Press, New York (1997)
Rousseau, D., Hayes-Roth, B.: Improvisational synthetic actors with flexible personalities. Technical Report KSL 97-10, Knowledge Systems Laboratory, Computer Science Dept., Stanford University, Stanford, CA (1997)
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, Birmingham, UK, pp. 101–112 (2000)
Prendinger, H., Ishizuka, M.: Designing and evaluating animated agents as social actors. IEICE Transactions on Information and Systems E86-D(8), 1378–1385 (2003)
Gratch, J., Marsella, S.: Evaluating the modeling and use of emotion in virtual humans. In: Jennings, N.R., Sierra, C., Sonenberg, L., Tambe, M. (eds.) AAMAS 2004, pp. 320–327. ACM Press, New York (2004)
Cañamero, D.: Modeling motivations and emotions as a basis for intelligent behavior. In: Johnson, W.L., Hayes-Roth, B. (eds.) Proceedings of the First International Symposium on Autonomous Agents (Agents 1997), pp. 148–155. ACM Press, New York (1997)
Ushida, H., Hirayama, Y., Nakajima, H.: Emotion model for life-like agent and its evaluation. In: Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference (AAAI 1998/ IAAI 1998), Madison, Wisconsin, United States, pp. 8–37 (1998)
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)
Delgado-Mata, C., Aylett, R.: Emotion and action selection: Regulating the collective behaviour of agents in virtual environments. In: Jennings, N.R., et al. (eds.) AAMAS 2004, pp. 1302–1303. ACM Press, New York (2004)
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)
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), University of Hertfordshire, Hatfield, UK (2005)
Pierce, C.S.: Collected Papers. The Belknap Press of Harvard University Press, Cambridge (1965)
El-Nasr, M.S., Yen, J., Ioerger, T.R.: FLAME — a fuzzy logic adaptive model of emotions. Autonomous Agents and Multi-Agent Systems 3(3), 219–257 (2000)
Ortony, A., Clore, G., Collins, A.: The Cognitive Structure of Emotions. Cambridge University Press, Cambridge (1988)
Velásquez, J.D.: When robots weep: Emotional memories and decision-making. In: Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference (AAAI 1998/ IAAI 1998), Madison, Wisconsin, United States. American Association for Artificial Intelligence (1998)
Wright, I.P.: Emotional Agents. PhD thesis, Faculty of Science of The University of Birmingham, School of Computer Science. Cognitive Science Research Centre. The University of Birmingham, UK (1997)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Imbert, R., de Antonio, A. (2005). When Emotion Does Not Mean Loss of Control. In: Panayiotopoulos, T., Gratch, J., Aylett, R., Ballin, D., Olivier, P., Rist, T. (eds) Intelligent Virtual Agents. IVA 2005. Lecture Notes in Computer Science(), vol 3661. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11550617_14
Download citation
DOI: https://doi.org/10.1007/11550617_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28738-4
Online ISBN: 978-3-540-28739-1
eBook Packages: Computer ScienceComputer Science (R0)