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A Preliminary Model for Understanding How Life Experiences Generate Human Emotions and Behavioural Responses

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Neural Information Processing (ICONIP 2016)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9949))

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Abstract

Whilst human emotional and behaviour responses are generated via a complex mechanism, understanding this process is important for a broader range of applications that span over clinical disciplines including psychiatry and psychology, and computer science. Even though there is a large body of literature and established findings in clinical disciplines, these are under-utilised in developing more realistic computational models. This paper presents a preliminary model based on the integration of a number of established theories in clinical psychology and psychiatry through an interdisciplinary research effort.

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References

  1. Elliott, C.: The Affective Reasoner: A Process Model of Emotions in a Multi-Agent System. (1992) http://condor.depaul.edu/elliott/ar/papers/dis/elliott-phd.html

  2. El-Nasr, M.S., Yen, J., Ioerger, T.R.: FLAME—fuzzy logic adaptive model of emotions. Auton. Agent. Multi-Agent Syst. 3, 219–257 (2000)

    Article  Google Scholar 

  3. Bates, J., Loyall, A., Reilly, W.: An architecture for action, emotion, and social behavior. In: 4th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, Artificial Social Systems, pp. 55–68 (1994)

    Google Scholar 

  4. 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, Providence, Rhode Island (1997)

    Google Scholar 

  5. Pynadath, D.V., Marsella, S.C.: PsychSim: modeling theory of mind with decision-theoretic agents. In: Proceedings of the 19th International Joint Conference on Artificial Intelligence, Edinburgh, Scotland (2005)

    Google Scholar 

  6. Kazemifard, M., Ghasem-Aghaee, N., Ören, T.I.: Design and implementation of GEmA: A generic emotional agent. Expert Syst. Appl. 38, 2640–2652 (2011)

    Article  Google Scholar 

  7. Ortony, A., Clore, G.L., Collins, A.: The Cognitive Structure of Emotions. Cambridge University Press, Cambridge (1990)

    Google Scholar 

  8. Gross, J.J.: The emerging field of emotion regulation: An integrative review. Rev. General Psychol. 2, 271–299 (1998)

    Article  Google Scholar 

  9. Whiten, A.: Natural Theories of Mind: Evolution, Development, and Simulation of Everyday Mindreading: B. Blackwell, Oxford (1991)

    Google Scholar 

  10. Cacciabue, P.C.: Modelling and Simulation of Human Behaviour in System Control. Springer, Heidelberg (1998)

    Book  Google Scholar 

  11. Klein, J., Moon, Y., Picard, R.W.: This computer responds to user frustration: Theory, design, and results. Interact. Comput. 14, 119–140 (2002)

    Article  Google Scholar 

  12. Maldonado, H., Lee, J.-E.R., Brave, S., Nass, C., Nakajima, H., Yamada, R., et al.: We learn better together: enhancing eLearning with emotional characters. In: Proceedings of th 2005 Conference on Computer Support for Collaborative Learning: Learning 2005: the next 10 years!, Taipei, Taiwan (2005)

    Google Scholar 

  13. Young, J.E.: Cognitive Therapy for Personality Disorders: A Schema-Focused Approach: Professional Resource Exchange (1999)

    Google Scholar 

  14. Young, J.E., Klosko, J.S., Weishaar, M.E.: Schema Therapy: A Practitioner’s Guide. Guilford Press (2003)

    Google Scholar 

  15. Greger, R., Windhorst, U.: Comprehensive Human Physiology: From Cellular Mechanisms to Integration. Springer, Heidelberg (2013)

    Google Scholar 

  16. Hage, M.P., Azar, S.T.: The link between thyroid function and depression. J. Thyroid Res. 2012, 590–648 (2012)

    Article  Google Scholar 

  17. Weiner, B.: An attributional theory of achievement motivation and emotion. Psychol. Rev. 92, 548 (1985)

    Article  Google Scholar 

  18. Garber, J., Seligman, M.E.: Human Helplessness: Theory and Applications. Cambridge Univ Press, Cambridge (1980)

    Google Scholar 

  19. Shaver, P., Schwartz, J., Kirson, D., O’Connor, C.: Emotion knowledge: further exploration of a prototype approach. J. Pers. Soc. Psychol. 52, 1061–1086 (1987)

    Article  Google Scholar 

  20. Folkman, S., Lazarus, R.S., Dunkel-Schetter, C., DeLongis, A., Gruen, R.J.: Dynamics of a stressful encounter: cognitive appraisal, coping, and encounter outcomes. J. Pers. Soc. Psychol. 50, 992 (1986)

    Article  Google Scholar 

  21. Botvinick, M.M., Braver, T.S., Barch, D.M., Carter, C.S., Cohen, J.D.: Conflict monitoring and cognitive control. Psychol. Rev. 108, 624–652 (2001)

    Article  Google Scholar 

  22. Casey, B.J., Tottenham, N., Fossella, J.: Clinical, imaging, lesion, and genetic approaches toward a model of cognitive control. Dev. Psychobiol. 40, 237–254 (2002)

    Article  Google Scholar 

  23. Seligman, M.E., Beagley, G.: Learned helplessness in the rat. J. Comp. Physiol. Psychol. 88, 534 (1975)

    Article  Google Scholar 

  24. Hiroto, D.S., Seligman, M.E.: Generality of learned helplessness in man. J. Pers. Soc. Psychol. 31, 311 (1975)

    Article  Google Scholar 

  25. Festinger, L.: A Theory of Cognitive Dissonance, vol. 2. Stanford University Press, Stanford (1962)

    Google Scholar 

  26. Fernando, D.A.I., Henskens, F.A.: A modified case-based reasoning approach for triaging psychiatric patients using a similarity measure derived from orthogonal vector projection. In: Chalup, S.K., Blair, A.D., Randall, M. (eds.) ACALCI 2015. LNCS, vol. 8955, pp. 360–372. Springer, Heidelberg (2015)

    Google Scholar 

  27. Minnis, H., Reekie, J., Young, D., O’connor, T., Ronald, A., Gray, A., et al.: Genetic, environmental and gender influences on attachment disorder behaviours. Br. J. Psychiatry 190, 490–495 (2007). 2007-06-01 00:00:00

    Article  Google Scholar 

  28. Breed, M., Sanchez, L.: Both environment and genetic makeup influence behavior. Nat. Educ. Knowl. 3, 68 (2010)

    Google Scholar 

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Correspondence to D. A. Irosh P. Fernando .

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Fernando, D.A.I.P., Rüffer, B. (2016). A Preliminary Model for Understanding How Life Experiences Generate Human Emotions and Behavioural Responses. In: Hirose, A., Ozawa, S., Doya, K., Ikeda, K., Lee, M., Liu, D. (eds) Neural Information Processing. ICONIP 2016. Lecture Notes in Computer Science(), vol 9949. Springer, Cham. https://doi.org/10.1007/978-3-319-46675-0_30

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  • DOI: https://doi.org/10.1007/978-3-319-46675-0_30

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  • Publisher Name: Springer, Cham

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