Circumplex model of affect applied to the control of dynamical systems

Modelo circumplejo del afecto aplicado al control de sistemas dinámicos

Main Article Content

José Danilo Rairán-Antolines
Abstract

In this paper we propose the design of a new control strategy for dynamic systems based on human emotions. Since psychologists and neuroscientists have demonstrated that emotions are indispensable in the Decision-Making-Process, and decision-making is the work of every controller, it is our desire to emulate emotions in the systems design. Here we deal with four areas of application for this invention in which autonomy and adaptability are essential. As well, eight emotion computational models are referenced. Given that these involve cognition, it is concluded as necessary to make adjustments to include one of these in a control strategy. For this reason, this article formulates the use of the Circumplex Model of Affect, a model which labels a human emotion as a variable.

Keywords

Downloads

Download data is not yet available.

Article Details

Author Biography (SEE)

José Danilo Rairán-Antolines, Universidad Distrital Francisco José de Caldas.

Docente en la Universidad Distrital Francisco José de Caldas. Candidato a Doctor en Ingeniería en Sistemas y Computación.

References

Damacio Antonio (1994). Descartes’ error: Emotion, Reason, and Human Brain, Ed. Penguin Books. USA.

Ziemke Tom (2007). On the role of emotion in biological and robotic autonomy, BioSystems. Jul 17.

Scheutz, M. (2005). Useful Roles of Emotions in Artificial Agents: A Case Study from Artificial Life, Proc. of AAAI. AAAI Press, San José, CA, Jul: 42–48.

Michaud F., Robichaud E., and Audet J. (2001). Using motives and artificial emotions for long-term activity of an autonomous robot, Proc. Of the Fifth International Conference on Autonomous Agents, ACM Press, Montreal, Canada: 188–189.

Goerke N., Henne T., and Müller J. (2004). Neural networks for the EMOBOT robot control architecture, Neural Computing & Application Journal, Vol. 13, Issue 4, Dec: 299–308.

Ippolito C., Pisanich G., and Young L.A. (2005). Cognitive Emotion Layer Architecture for Intelligent UAV Planning, Behavior and Control, Aerospace Conference, 2005 IEEE, Big Sky, Montana USA, Mar: 1–16.

Zhang Y., Liu J., Hesketh T., Clements D. J., and Eaton R. (2006). A Fault Accommodation Control for Nonlinear Systems, Cybernetics and Systems Analysis, Vol. 42, No. 1: 8–17.

Savran Aydogan, Tasaltin Ramazan, Becerikli Yasar (2006). Intelligent adaptive nonlinear flight control for a high performance aircraft with neural networks, ISA Transactions, Volume 45,

Number 2, April: 225–247.

Pollick Frank, Hale Joshua, and McAleer Phil (2003). Visual Perception of Humanoid Movement, Third International Workshop on Epigenetic Robotics, Boston, MA, USA, August 4-5: 101–114.

Wang Emily, Lignos Constantine, Vatsal Ashish, and Scassellati Brian (2006). Effects of Head Movement on Perceptions of Humanoid Robot Behavior, HRI’06, March 2–4, Salt Lake City, Utah, USA: 180–185.

Sanan Murray (2005). Consciousness, Emotion, and Imagination. A Brain Inspired Architecture for Cognitive Robotics, AISB’05: Social Intelligence and Interaction in Animals, Robots and Agents, University of Hertfordshire, Hatfield, UK. 12 - 15 April: 26–35.

H. Ahn and R.W. Picard (2006). Affective Cognitive Learning and

Decision Making: The Role of Emotions, Symposium: the 18th European Meeting on Cybernetics and Systems Research (EMCSR 2006), Vienna, Austria, Ap:1–6.

Levine D. S. (2007). Neural network modeling of emotion, Physics of Life. Reviews. Science Direct. Elsevier, Vol. 4: 37–63.

T. Sigurdsson, V. Doyère, C. K. Cain, and J. E. LeDoux, (2007). Long-term Potentiation in the Amygdala: A cellular mechanism of fear learning and memory, Journal Neuropharmacology, Elsevier, Vol. 52, Issue 1, Jan: 215–227.

Rushworth M.F.S., Behrens T.E.J., Rudebeck P.H., and Walton M.E. (2007). Contrasting Roles for Cingulate and Orbitofrontal Cortex in Decisions and Social behavior, Journal TRENDS in Cognitive Sciences, Science Direct, Elsevier, Vol.11, Issue 4, Mar: 168–176.

Mériau Katja, Wartenburger Isabell,Kazzer Philipp, Prehn Kristin, Class- Hinrich Lammers, Meer Elke van der, Villringer Arno, and Heekeren Hauke (2006). A Neural Network Reflecting Individual Differences in Cognitive Processing of Emotions During Perceptual Decision Making, Journal NeuroImage, Science Direct, Elsevier, Vol 33, Issue 3, Nov: 1016–1027.

Jabbi M., Swart M., and Keysers C.(2007). Empathy for positive and negative emotions in the gustatory cortex, Journal NeuroImage, Science Direct, Elsevier, Vol 34, Issue 4, Feb: 1744–1753.

Fragopanagos N., Taylor J. G. (2006). Modelling the interaction of attention and emotion, Neurocomputing 69: 1977–1983.

Zhdanov A. A., Vinokurov A. N. (1999). Emotions Simulation in Methodology of Autonomous Adaptive Control, Proceedings, International Symposium on Intelligent Control/lntelligent Systems and Semiotics IEEE, Cambridge, MA September 15–17.

Jan Morén, Christian Balkenius (2000). A Computational Model ofEmotional Learning in the Amygdala, The MIT Press. Proceedings of the 6th nternational Conference on the Simulation of Adaptive Behavior.

Caro Lucas, Danial Shahmirzadi (2004). Introducing BELBIC: Brain emotional learning based intelligent controller, Intelligent Automation and Soft Computing, Vol. 10, No. 1: 11–22.

Ali Reza Mehrabian, and Caro Lucas (2005). Emotional Learning based Intelligent Robust Adaptive Controller for Stable Uncertain Nonlinear Systems, International Journal of Computational Intelligence. Volume 2 Number 4: 246–252.

L. D. Cañamero (2003). Designing Emotions for Activity Selection in Autonomous Agents, eds., Emotions in Humans and Artifacts, Cambridge, MA: The MIT Press: 115–148.

Marinier, R.P., Laird, J.E. (2007). Computational Modeling of Mood and Feeling from Emotion, CogSci 2007. Nashville, TN: 461–466.

Sander David, Grandjean Didier, Scherer Klaus, (2005). A systems approach to appraisal mechanisms in emotion, Neural Networks, Special Issue. Vol 18: 317–352.

Russell James A., Barrett F. Lisa (1999). Core Affect, Prototypical Emotional Episodes, and Other Things Called Emotion: Dissecting the Elephant, Journal of Personality and Social Psychology. Vol. 76. No. 5: 805–819.

Posner Jonathan, Russell James, and Peterson Bradley (2005). The circumplex model of affect: An integrative approach to affective neuroscience, cognitive development, and psychopathology, Development and Psychopathology Vol. 17: 715–734.

Fagerberg Petra, Ståhl Anna, Höök Kristina (2004). eMoto: emotionally engaging interaction, Personal and Ubiquitous Computing, vol 8: 377–381

Peter Christian, Herbon Antje (2006). Emotion representation and physiology assignments in digital systems, Interacting with Computers, Vol 18: 139–170.

Sosnowski Stefan, Kühnlenz Kolja, and Buss Martin, (2006). EDDIE -An Emotion-Display with Dynamic Intuitive Expressions, The 15th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN06), Hatfield, UK, September: 569–574.

OJS System - Metabiblioteca |