Multi-Objective Evolutionary Generation Process for Specific Personalities of Artificial Creature

IEEE Computational Intelligence Magazine

Volumn 3, Issue 1, 2008, Pages 43-53

  Kim, Jong Hwan ^a   Lee, Chi Ho ^a  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85008016178     PISSN: 1556603X     EISSN: None     Source Type: Journal    
DOI: 10.1109/MCI.2008.913368     Document Type: Article

References (24)

1. J.-H. Kim, K.-H. Lee, and Y.-D. Kim, “The origin of artificial species: Genetic robot,” International Journal of Control, Automation, and Systems, vol. 3, no. 4, pp. 564–570, 2005.
2. R. Dawkins, The Selfish Gene, The Oxford Publication Press, 1976.
3. J.-H. Kim, K.-H. Lee, Y.-D. Kim, and I.-W. Park, “Genetic representation for evolving artificial creature,” in Proc. of the IEEE Congress on Evolutionary Computation, pp. 6838–6843, 2006.
4. C.-H. Lee, K.-H. Lee, and J.-H. Kim, “Evolutionary multi-objective optimization for generating artificial creature's personality,” in Proc. of the IEEE Congress on Evolutionary Computation, pp. 2450–2455, 2007.
5. J.-H. Kim, K.-H. Lee, Y.-D. Kim, N.S. Kuppuswamy, and J. Jo, “Ubiquitous robot: A new paradigm for integrated services,” in Proc. of IEEE Int'l Conf. on Robotics and Automation, pp. 2853–2858, 2007.
6. T.-H. Kim, S.-H. Choi, and J.-H. Kim, “Incorporation of Software Robot and Mobile Robot Using Middle Layer,” IEEE Transactions on System, Man, and Cybernetics part C, vol. 37, no. 6, pp. 1342–1348, 2007.
7. Y.-H. Kim, S.-H. Cho, S.-H. Choi, and J.-H. Kim, “Software robot in a PDA for human interaction and seamless service,” in 16th IEEE Intl. Symposium on Robot & Human Interactive Communication, pp. 968–973, 2007.
8. A. Ortony, “On making believable emotional agents believable,” Emotions in Humans and Artifacts, MIT Press, pp. 189–211, 2002.
9. P.T. Costa and R.R. McCrae, “The NEO personality inventory manual,” Odessa, FL: Psychological Assessment Resources, 1985.
10. R.R. McCrae and P.T. Costa, “Validation of a Five-factor model of personality across instruments and observers,” Journal of personality and social psychology, vol. 52, pp. 81–90, 1987.
11. E. Zitzler and L. Thiele, “Multiobjective evolutionary algorithms: A comparative case study and the strength pareto approach,” IEEE Tran. on Evolutionary Computation, vol. 3, no. 4, pp. 257–271, 1999.
12. Y.-D. Kim, Y.-J. Kim, and J.-H. Kim, “Behavior selection and learning for synthetic character,” in Proc. of the IEEE Congress on Evolutionary Computation, pp. 898–903, 2004.
13. A. Ortony, G.L. Clore, and A. Collins, The Cognitive Structure of Emotions. Cambridge University Press, New York, 1988.
14. R. Arkin, M. Fujita, T. Takagi, and R. Hasekawa, “An ethological and emotional basis for human-robot interaction,” Robotics and Autonomous Systems, vol. 42, pp. 191–201, 2003.
15. L. Cañamero, O. Avila-Garcia, and E. Hafner, “First experiments relating behavior selection architectures to environmental complexity,” in Proc. of the IEEE/RSJ Itnl. Conference on Intelligent Robots and Systems, pp. 3024–3029, 2002.
16. E. Zitzler, M. Laumanns, and L. Thiele, “SPEA2: Improving the strength pareto evolutionary algorithm for multiobjective optimization,” in Proc. of Evolutionary Methods for Design, Optimization and Control with Applications to Industrial Problems, pp. 95–100, 2001.
17. N. Srinivas and K. Deb, “Multiobjective function optimization using nondominated sorting genetic algorithms,” Evolutionary Computation, vol. 2, no. 3, pp. 221–248, 1995.
18. K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan, “A fast and ellitist multiobjective genetic algorithm: NSGA-II,” IEEE Transactions on Evolutionary Computation, vol. 6, no. 2, pp. 182–197, 2002.
19. J. Knowles and D. Corne, “Approximating the non-dominated front using the Pareto Archived Evolution Strategy,” Evolutionary Computation, vol. 8, pp. 149–172, 2000.
20. J.-H. Kim, C.-H. Lee, K.-H. Lee, and N.S. Kuppuswamy, “Evolutionary Generation of Artificial Creature's Personality for Ubiquitous Services (Book Chapter),” Advances in Meta-heuristics for Hard Optimization, Z. Michalewicz and P. Siarry, (eds.), Springer, 2007 (in press).
21. M. Farina and P. Amato, “A fuzzy definition of “optimality” for many-criteria optimization problems,” IEEE Tran. on System, Man and Cybernetics, vol. 34, no. 3, pp. 315–326, 2004.
22. J.N. Morse, “Reducing the size of the nondominated set: Pruning by clustering,” Computers and Operations Research, vol. 7, pp. 55–66, 1980.
23. Z. Michalewicz, Genetic Algorithms + Data Structures = Evolution Programs, New York: Springer-Verlag, 1996.
24. T. Back, D.B. Fogel, and Z. Michalewicz, Evolutionary Computation 1, New York: Institute of Physics Publishing Ltd., 2000.