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An Adaptive Affective Social Decision Making Model

  • Alexei SharpanskykhEmail author
  • Jan Treur
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 196)

Abstract

Social decision making under stressful circumstances may involve strong emotions and contagion from others, and requires adequate prediction and valuation capabilities. In this paper based on principles from Neuroscience an adaptive agent-based computational model is proposed to address these aspects in an integrative manner. Using this model adaptive decision making of an agent in an emergency evacuation scenario is explored. By simulation computational learning mechanisms are identified required for effective decision making of agents.

Keywords

Emotional Response Preparation State Goal State Prediction Link Bodily Change 
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.

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References

  1. 1.
    Ahn, H.: Modeling and analysis of affective influences on human experience, prediction, decision making, and behavior. PhD thesis. MIT, Cambridge (2010)Google Scholar
  2. 2.
    Bechara, A., Damasio, H., Damasio, A.R.: Role of the Amygdala in Decision-Making. Ann. N.Y. Acad. Sci. 985, 356–369 (2003)CrossRefGoogle Scholar
  3. 3.
    Becker, W., Fuchs, A.F.: Prediction in the Oculomotor System: Smooth Pursuit During Transient Disappearance of a Visual Target. Experimental Brain Research 57, 562–575 (1985)CrossRefGoogle Scholar
  4. 4.
    Boutilier, C., Dean, T., Hanks, S.: Decision-Theoretic Planning: Structural Assumptions and Computational Leverage. Proceedings of J. Artif. Intell. Res (JAIR), 1–94 (1999)Google Scholar
  5. 5.
    Damasio, A.R.: Descartes’ Error: Emotion, Reason and the Human Brain. Papermac, London (1994)Google Scholar
  6. 6.
    Damasio, A.R.: The Feeling of What Happens. Body and Emotion in the Making of Consciousness. Harcourt Brace, New York (1999)Google Scholar
  7. 7.
    Damasio, A.R.: Self comes to mind: constructing the conscious brain. Pantheon Books, NY (2010)Google Scholar
  8. 8.
    Gerstner, W., Kistler, W.M.: Mathematical formulations of Hebbian learning. Biol. Cybern. 87, 404–415 (2002)zbMATHCrossRefGoogle Scholar
  9. 9.
    Ghashghaei, H.T., Hilgetag, C.C., Barbas, H.: Sequence of information processing for emotions based on the anatomic dialogue between prefrontal cortex and amygdala. Neuroimage 34, 905–923 (2007)CrossRefGoogle Scholar
  10. 10.
    Hebb, D.O.: The Organization of Behaviour. John Wiley & Sons, New York (1949)Google Scholar
  11. 11.
    Hesslow, G.: Conscious thought as simulation of behaviour and perception. Trends Cogn. Sci. 6, 242–247 (2002)CrossRefGoogle Scholar
  12. 12.
    Kahneman, D., Tversky, A.: Choices, Values and Frames. American Psychologist 39, 341–350 (1984)CrossRefGoogle Scholar
  13. 13.
    Murray, E.A.: The amygdala, reward and emotion. Trends Cogn. Sci. 11, 489–497 (2007)CrossRefGoogle Scholar
  14. 14.
    Ortony, A., Clore, G.L., Collins, A.: The Cognitive Structure of Emotions. Cambridge University Press (1988)Google Scholar
  15. 15.
    Rangel, A., Camerer, C., Montague, P.R.: A framework for studying the neurobiology of value-based decision making. Nat. Rev. Neurosci. 9, 545–556 (2008)CrossRefGoogle Scholar
  16. 16.
    Salzman, C.D., Fusi, S.: Emotion, Cognition, and Mental State Representation in Amygdala and Prefrontal Cortex. Annu. Rev. Neurosci 33, 173–202 (2010)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Agent Systems Research GroupVU University AmsterdamAmsterdamThe Netherlands

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