Abstract
In this paper we propose a computational model of emotions designed to provide autonomous agents with mechanisms for affective processing. We present an integrative framework as the underlying architecture of this computational model, which enables the unification of theories explaining the different facets of the human emotion process and promotes the interaction between cognitive and affective functions. This proposal is inspired by recent advances in the study of human emotions in disciplines such as psychology and neuroscience.
Keywords
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Armony, J.L., Servan-Schreiber, D., Cohen, J.D., LeDoux, J.E.: Computational modeling of emotion: explorations through the anatomy and physiology of fear conditioning. Trends in Cognitive Sciences 1(1), 28–34 (1997)
Becker-Asano, C.W., Wachsmuth, I.: Affective computing with primary and secondary emotions in a virtual human. Autonomous Agents and Multi-Agent Systems 20(1), 32–49 (2010)
Dalgleish, T., Dunn, B.D., Mobbs, D.: Affective neuroscience: Past, present, and future. Emotion Review 1(4), 355–368 (2009)
Damasio, A.R.: Descartes’ error: Emotion, Reason, and the Human Brain, 1st edn. Putnam Grosset Books, New York (1994)
El-Nasr, M.S., Yen, J., Ioerger, T.R.: Flame–fuzzy logic adaptive model of emotions. Autonomous Agents and Multi-Agent Systems 3(3), 219–257 (2000)
Fellous, J.-M., Arbib, M.A.: Who needs emotions?: the brain meets the robot. Oxford University Press, Oxford (2005)
Gebhard, P.: Alma: a layered model of affect. In: Proceedings of the International Conference on Autonomous Agents And Multiagent Systems, pp. 29–36 (2005)
Hudlicka, E.: This time with feeling: Integrated model of trait and state effects on cognition and behavior. Applied Artificial Intelligence: An International Journal 16(7-8), 611–641 (2002)
Hudlicka, E.: A computational model of emotion and personality: Applications to psychotherapy research and practice. In: Proceedings of the 10th Annual CyberTherapy Conference: A Decade of Virtual Reality (2005)
Lane, R.D., Nadel, L., Allen, J.J.B., Kaszniak, A.W.: The study of emotion from the perspective of cognitive neuroscience. In: Lane, R.D., Nadel, L. (eds.) Cognitive Neuroscience of Emotion. Oxford University Press, New York (2000)
LeDoux, J.E., Phelps, E.A.: Emotion networks in the brain. In: Lewis, M., Haviland-Jones, J.M. (eds.) Handbook of Emotions, pp. 159–179. Guilford Press, New York (2000)
Marinier, R.P., Laird, J.E., Lewis, R.L.: A computational unification of cognitive behavior and emotion. Cognitive Systems Research 10(1), 48–69 (2009)
Marsella, S., Gratch, J., Petta, P.: Computational models of emotion. In: Scherer, K.R., Bänziger, T., Roesch, E.B. (eds.) Blueprint for Affective Computing: A Source Book, 1st edn. Oxford University Press, Oxford (2010)
Marsella, S.C., Gratch, J.: Ema: A process model of appraisal dynamics. Cognitive Systems Research 10(1), 70–90 (2009)
McCrae, R.R., John, O.P.: An introduction to the five-factor model and its applications. Journal of Personality 60(2), 175–215 (1992)
Mehrabian, A.: Pleasure-arousal-dominance: A general framework for describing and measuring individual differences in temperament. Current Psychology 14(4), 261–292 (1996)
Newell, A.: Unified theories of cognition. Harvard University Press, Cambridge (1990)
Ochsner, K.N., Barrett, L.F.: A multiprocess perspective on the neuroscience of emotion. In: Mayne, T.J., Bonanno, G.A. (eds.) Emotions: Currrent Issues and Future Directions, pp. 38–81. Guilford Press, New York (2001)
Ortony, A., Clore, G.L., Collins, A.: The cognitive structure of emotions. Cambridge University Press, Cambridge (1990)
Phan, K.L., Wager, T.D., Taylor, S.F., Liberzon, I.: Functional neuroimaging studies of human emotions. CNS Spectrums 9(4), 258–266 (2004)
Roseman, I.J., Spindel, M.S., Jose, P.E.: Appraisals of emotion-eliciting events: Testing a theory of discrete emotions. Journal of Personality and Social Psychology 59(5), 899–915 (1990)
Rusting, C.L.: Personality, mood, and cognitive processing of emotional information: Three conceptual frameworks. Psychological Bulletin 124(2), 165–196 (1998)
Scherer, K.R.: Appraisal considered as a process of multi-level sequential checking. In: Scherer, K.R., Schorr, A., Johnstone, T. (eds.) Appraisal Processes in Emotion: Theory, Methods, Research, pp. 92–120. Oxford University Press, New York (2001)
Scherer, K.R.: Emotion and emotional competence: conceptual and theoretical issues for modelling agents. In: Scherer, K.R., Bänziger, T., Roesch, E.B. (eds.) Blueprint for Affective Computing: A Source Book. Oxford University Press, Oxford (2010)
Shepherd, G.M.: Creating modern neuroscience: the revolutionary 1950s. Oxford University Press, Oxford (2009)
Smith, C.A., Kirby, L.D.: Toward delivering on the promise of appraisal theory. In: Scherer, K.R., Schorr, A., Johnstone, T. (eds.) Appraisal Processes in Emotion, Oxford, NY (2001)
Smith, C.A., Lazarus, R.S.: Emotion and adaptation. In: Pervin, L.A. (ed.) Handbook of Personality: Theory and Research, pp. 609–637. Guilford Press, New York (1990)
Velásquez, J.D.: Modeling emotions and other motivations in synthetic agents. In: Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Conference on Innovative Applications of Artificial Intelligence, pp. 10–15 (1997)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Rodríguez, LF., Ramos, F., García, G. (2011). An Integrative Computational Model of Emotions. In: D’Mello, S., Graesser, A., Schuller, B., Martin, JC. (eds) Affective Computing and Intelligent Interaction. ACII 2011. Lecture Notes in Computer Science, vol 6975. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24571-8_30
Download citation
DOI: https://doi.org/10.1007/978-3-642-24571-8_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24570-1
Online ISBN: 978-3-642-24571-8
eBook Packages: Computer ScienceComputer Science (R0)