xEmotion - obliczeniowy model emocji dedykowany dla inteligentnych systemów decyzyjnych

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wyślij Zdzisław Kowalczuk , Michał Czubenko Katedra Systemów Decyzyjnych, Wydział Elektroniki Telekomunikacji i Informatyki, Politechnika Gdańska

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Streszczenie

Artykuł prezentuje cybernetyczne podejście do zagadnienia modelowania ludzkich emocji, oparte na psychologicznych teoriach (ocennej i somatycznej). Opracowany model przeznaczony jest do integracji z Inteligentnym Systemem Decyzyjnym - IDS. Może być on używany jako silnik aplikacji lub jako system sterowania niezależnego urządzenia, np. robota autonomicznego.

Słowa kluczowe

obliczeniowy model emocji, podejście rozmyte, system inteligentny, system podejmowania decyzji

xEmotion - a computational model of emotions dedicated to intelligent decision-making systems

Abstract

The paper presents a cybernetic approach to the task of modelling human emotions based on the psychology theories (both appraisal and somatic theories are applied). The proposed system is designed for integration into an intelligent system of decision-making - IDS. It can, for instance, be used as an application engine, as well as, a control system in autonomous unit.

Keywords

artificial intelligence, computation model of emotions, decision-making system, fuzzy approach, intelligent system

Bibliografia

  1. Breazeal (Ferrell) C., Velasquez J., Toward Teaching a Robot ‘Infant’ using Emotive Communication Acts, [in:] Simulation of Adaptive Behavior Workshop on Socially Situated Intelligence, Zurich, Switzerland, 1998, 25-40.
  2. Esau N., Kleinjohann B., Kleinjohann L., Stichling D., MEXI: Machine with Emotional ly eXtended Intelligence, Conference on Hybrid and Intelligent Systems, 2003.
  3. Metta G., Sandini G., Vernon D., Natale L., Nori F., The iCub humanoid robot: an open platform for research in embodied cognition, [in:] Performance Metrics for Intel ligent Systems, 2008.
  4. Mazur M., Cybernetyka i Charakter, Plus Minus, PIW, Warszawa 1976.
  5. Mayers D. G., Emotions, Stress, and Health, Worth Publishers, New York 2010, 9th edition, 497-527.
  6. Izard C. E., Malatesta C. Z., Perspectives on emotional development I: Differential emotions theory of early emotional development, Wiley, New York 1987, 494-554.
  7. Plutchik R., The nature of emotions, “American Scientist” 2001, 344.
  8. Zajonc R. B., Murphy S. T., Inglehart M., Feeling and facial efference: Implications of the vascular theory of emotion, “Psychological Review” 96/1989, 395-416.
  9. Lazarus R. S., The cognition-emotion debate: A bit history, Wiley, New York 1999, 3-19.
  10. Lazarus R. S., Emotion and Adaptation, Oxford University Press, USA 1991.
  11. Swagerman J., The Artificial Concern REalization System ACRES: A computer model of emotion, PhD thesis, University of Amsterdam, Amsterdam 1987.
  12. Elliott C., The Affective Reasoner: A Process Model of Emotions in a Multi-Agent System, PhD thesis, Northwestern University, Chicago 1992.
  13. Moffat D., Frijda N. H., Where there’s a Wil l there’s an agent, [in:] Wooldridge M., Jennings N. (eds.), Intelligent Agents, Lecture Notes in Computer Science, volume 890, Springer Berlin Heidelberg 1995, 245-260.
  14. Reilly W. S. N., Believable Social and Emotional Agents, PhD thesis, Carnegie Mellon University, Pittsburgh (PA) 1996.
  15. El-Nasr M. S., Yen J., Ioerger T. R., Flame - fuzzy logic adaptive model of emotions, “Autonomous Agents and Multi-agent systems” 3/2000, 219-257.
  16. Staller A., Petta P., Introducing Emotions into the Computational Study of Social Norms: A First Evaluation, “Journal of Artificial Societies and Social Simulation” 1/2001.
  17. (2000): ´ Emile: marshal ling passions in thraining and education, Barcelona, Spain.
  18. Bui T., Heylen D., Poel M., Nijholt A., ParleE: An adaptive plan based event appraisal model of emotions, “KI 2002: Advances in Artificial Intelligence” 2002, 1-9.
  19. Gratch J., Marsella S., Evaluating a computational model of emotion, ”Journal of Autonomous Agents and Multiagent Systems” 2004 (special issue on the best of AAMAS 2004), 23-43.
  20. Dias J. A., earNot!: Creating Emotional Autonomous Synthetic Characters for Emphatic Interactions, Master’s thesis, Instituto Superior Técnico, Lisbon 2005.
  21. Si M., Marsella S. C., Pynadath D. V., Thespian: Modeling Social ly Normative Behavior in a Decision-Theoretic Framework,6th International Conference on Intelligent Virtual Agents, Marina del Rey, 2006.
  22. Rousseau D., Personality in Computer Characters, [in:] Artificial Intel ligence, AAAI Press, 1996.
  23. Velásquez J. D., Maes P., Cathexis: a computational model of emotions, [in:] Proceedings of the 1th international conference on Autonomous agents, ACM, New York (NY) 1997, 518-519.
  24. Becker-Asano C., WASABI: Affect Simulation for Agents with Believable Interactivity, PhD thesis, Faculty of Technology, University of Bielefeld 2008.
  25. Wright I., Sloman A., MINDER1: An implementation of a protoemotional agent architecture, Technical report, 1996.
  26. Kowalczuk Z., Czubenko M., Intel ligent Decision-Making System for Autonomous Robots, “International Journal of Applied Mathematics and Computer Science” 4/2011, 621-635.
  27. Maslow A. H., Toward a Psychology of Being, 2nd edition, Van Nostrand Reinhold, New York 1968.
  28. Kowalczuk Z., Czubenko M., Model of human psychology for control ling autonomous robots, [in:] Methods and Models in Automation and Robotics (MMAR), 15th International Conference on, Aug. 2010, 31-36.
  29. Biddle S., Fox K. R., Boutcher S. H., Physical Activity and Psychological Wel l-being, Psychology Press, London 2000.
  30. Blechman E. A., Emotions and the Family: For Better or for Worse, Lawrence Erlbaum, New Jersey 1990.
  31. Ekman P., Davidson R., Natura Emocji, Gdańskie Wydawnictwo Psychologiczne, Gdańsk 1999.