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Simulating Agent Emotion in a Virtual Super Market

Utility Function Based Approach
  • Qing Yu
  • WenJie Wang
  • ZhongZhi Shi
  • Fen Lin
Conference paper
Part of the IFIP International Federation for Information Processing book series (IFIPAICT, volume 228)

Abstract

This paper reports a method of simulate an Agent emotion in a Virtual Super Market environment. Utility Function is the key to depict people’s emotion especially in the satisfaction feelings. This method finished the process from the emotion to the decision. Agent will act emotionally according to the Utility.

Key words

Virtual Super Market Utility Function Lagrange Interpolating Polynomial 

5. References

  1. 1.
    ChengSen Lin. Numerical Implementation. Science Press. P122–126Google Scholar
  2. 2.
    Abramowitz, M. and Stegun, I. A. (Eds.). Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables, 9th printing. New York: Dover, pp. 878–879 and 883, 1972.Google Scholar
  3. 3.
    M. Friedman and L.P. Savage (1948) “The Utility Analysis of Choices involving Risk”, Journal of Political Economy, Vol. 56, p. 279–304CrossRefGoogle Scholar
  4. 4.
    H. Markowitz (1952) “The Utility of Wealth”, Journal of Political Economy, Vol. 60, p. 151–8.CrossRefGoogle Scholar
  5. 5.
    K. J. Arrow (1965) Aspects of the Theory of Risk-Bearing. Helsinki; Yrjö Hahnsson Foundation.Google Scholar
  6. 6.
    “Specimen Theoriae Novae de Mensara Sortis”, 1738, Commentarii Academiae Scientiarum Imperialis Petropolitanae. (trans. in 1954, Econometrica).Google Scholar
  7. 7.
    “Diiudicatio maxime probabilis plurium obferuation um diferepantium atque verificillima inductio inde form anda”, Acta Scientarium Imperialis Petropolitanae (trans, in 1961, Biometrika).Google Scholar
  8. 8.
    Lin Padgham, Guy Taylor, “A System for Modeling Agents having emotion and Personality”, Department of Computer Science, RMIT University, Melbourne, Australia.Google Scholar
  9. 9.
    Zhongzhi Shi, Haijun Zhang, and Mingkai Dong. Mage: Multi-agent environment. In ICCNMC-03, 2003.Google Scholar
  10. 10.
    Intelligent Science Website http://www.intsci.ac.cnGoogle Scholar
  11. 11.
    AgentCities, http://www.agentcities.net/.Google Scholar
  12. 12.
    N.R. Jennings and M.J. Wooldridge. Applications of intelligent agents. In Agent Technology, Foundations, Applications, and Markets, pages 3–28.Google Scholar
  13. 13.
    Eric W. Weisstein et al. “Lagrange Interpolating Polynomial.” From MathWorld—A Wolfram Web Resource. http://mathworld.wolfram.com/LagrangeInterpolatingPolynomial.htmlGoogle Scholar

Copyright information

© International Federation for Information Processing 2006

Authors and Affiliations

  • Qing Yu
    • 1
  • WenJie Wang
    • 1
  • ZhongZhi Shi
    • 2
  • Fen Lin
    • 1
    • 2
  1. 1.Graduate School of Chinese Academy of ScienceBeijing
  2. 2.Key Laboratory of Intelligent Information Processing, Institute of Computing TechnologyChinese Academy of SciencesBeijingChina

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