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The Growth and Behavior of a Virtual Life by using Genetic Algorithm

  • Kwon, Min-Su (School of Electrical and Electronic Engineering, Chung-Ang University) ;
  • Kim, Do-Wan (School of Electrical and Electronic Engineering, Chung-Ang University) ;
  • Hoon Kang (School of Electrical and Electronic Engineering, Chung-Ang University)
  • Published : 2003.10.01

Abstract

In this paper, we modeled a virtual life (VL) that reacts to the user s action according to its own behavioral characteristics and grows itself. We established some conditions with which such a VL is designed. Genetic Algorithm is used for the growth process that changes the VL s properties. In this process, the parameter values of the VL s properties are encoded as one chromosome, and the GA operations change this chromosome. The VL s reaction to the user s action is determined by these properties as well as the general expectation of each reaction. These properties are evaluated through 5 fitness measures so as to deal with multi-objective criteria. Here, we present the simulation of the growth Process, and show some experimental results.

Keywords

References

  1. D.E.Goldber, Genetic Algorithms in Search, Optimization, and Machine Learning, Massachusetts, Addison-Wesley, 1989.
  2. R.L.Haupt and S.E,Haupt, Practical Genetic Algorithms, New York, A Wiley-Interscience Publication, 1998
  3. Banzhaf, W.Interactive Evolution, New York, lOP Publishing Ltd and Oxford Univ. press, 1997.
  4. R.L.Haupt and S.E.Haupt, Practical Genetic Algorithms, New York, Wiley-Interscience, 1999.
  5. Willam M.Spears, Evolutionary Algorithms, Germany, Springer Verlag, 2000.
  6. David B.Fogel, Evolutionary computation, New York, IEEE press, 1999.
  7. Wen Tang and Tao Ruan Wan, "Inteligent Self-Learning Characters for Computer Games", The 20th Eurographics UK Conference (EGUK'02), Leicester, Leicestershire, UK , pp. 51-58, 2002.