Advertisement

Multiple Emotions and Their Chaotic Dynamics

  • Aruna Chakraborty
  • Amit Konar
Part of the Studies in Computational Intelligence book series (SCI, volume 234)

Abstract

The chapter addresses the issues of co-operation/competition of multiple emotional states in the human brain, and realizes the same using a recurrent neural dynamics. It also deals with stability analysis of dynamic emotional systems using Lyapunov energy function. Computer simulation of the proposed model reveals that the dynamic behavior of an emotional system exhibits limit cycles, chaos or steady-state, depending on the selection of appropriate parameters in the dynamics. Phase-portraits have been used, whenever necessary, for analysis of the dynamical behavior of mixed emotional systems. The chapter ends with a study on parameter selection of emotional dynamics from the facial expressions of subjects, stimulated with audio-visual movies. Finally a scheme for stabilization of emotional dynamics is proposed with a proportional plus integral controller.

Keywords

Facial Expression Emotional State Chaotic Dynamics Emotional Intelligence Mouth Opening 
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.
    Beauregard, M., Levesque, J., Paquette, V.: Neural Basis of Conscious and Voluntary Self-Regualtion of Emotion. In: Beauregard, M. (ed.) Consciousness, Emotional Self-regulation and the Brain. Benjamins Pub. (2004)Google Scholar
  2. 2.
    Buchel, C., Dolan, R.J., Armony, J.L., Friston, K.J.: Amygdala-Hippocampal Involvement in human Aversive Trace Conditioning Revealed through Event-Related fMRI. The J. of Neuroscience 19(24) (1999)Google Scholar
  3. 3.
    Guyton, B.C., Hall, J.E.: Textbook of Medical PhysiologyGoogle Scholar
  4. 4.
    Cambel, A.B.: Applied Chaos Theory: A Paradigm for Complexity. Academic Press, San Diego (1923)Google Scholar
  5. 5.
    Chakraborty, A., Konar, A.: Chaotic Emotional Dynamics Realized with Recurrent Neural Network. Organized by Computer Society of India, Calcutta (2005)Google Scholar
  6. 6.
    Chakraborty, A.: Cognitive Cybernetics: Behavioral Models of Human-Machine Interactions, Ph.D. Thesis, Jadavpur University (2005)Google Scholar
  7. 7.
    Durka, P.: Matching Pursuit and Unification in EEG Analysis. Artech House, Norwood (2007)Google Scholar
  8. 8.
    Frackowiak, R.S.J., Friston, K.J., Frith, C.D., Dolan, R.J., Price, C.J., Zeki, S., Ashburner, J., Penny, W.: Human Brain Function. Elsevier, Amsterdam (2005)Google Scholar
  9. 9.
    Ghosh, M., Chakraborty, A., Konar, A., Nagar, A.: Detection of Chaos and Limit Cycles in Emotional Dynamics from the Facial Expressions of the Stimulated Subjects. In: Subudhi, B. (ed.) Computational Intelligence, Control and Computer Vision in Robotics and Automation. Narosa Publisher, New Delhi (2009)Google Scholar
  10. 10.
    Grossberg, S., Seidman, D.: Neural dynamics of autistic behaviors: Cognitive, emotional and timing substrates. Psychological Review 113(3), 483–525 (2006)CrossRefGoogle Scholar
  11. 11.
    Harter, D., Kozma, R.: Chaotic neurodynamics for autonomous agents. IEEE Trans. Neural Networks 16(3) (May 2005)Google Scholar
  12. 12.
    Konar, A., Roy, A.B.: Population drift and control of damping in a predator-prey system. IMA J. of Mathematics Applied in Medicine and Biology 7, 245–259 (1990)zbMATHCrossRefMathSciNetGoogle Scholar
  13. 13.
    Landini, L., Positano, V., Santarelli, M.F. (eds.): Advanced Magnetic Image in Resonance Processing Imaging. Taylor and Francis, Abington (2005)Google Scholar
  14. 14.
    Lee, R.S.T.: Advanced Paradigms in Artificial Intelligence: From Neural Oscillators, Chaos Theory to Chaotic Neural Networks, January 2006, vol. 5. Advanced Knowledge International Publishers, Adelaide (2006)Google Scholar
  15. 15.
    Xu, D., Principe, J.C.: Dynamical analysis of neural oscillators in an alfactory cortex model. Neural Networks 23, 46–55 (2000)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Aruna Chakraborty
    • Amit Konar

      There are no affiliations available

      Personalised recommendations