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A Study on the Design of a Biologizing Control System

  • Park, Byung-Jae (School of Electronic Engineering, Daegu University) ;
  • Wang, Paul P. (Department of Electrical & Computer Engineering, Duke University)
  • Published : 2004.08.01

Abstract

According to the progress of an information-oriented society, more human friendly systems are required. The systems can be implemented by a kind of intelligent algorithms. In this paper we propose the possibility of the implementation of an intelligent algorithm from gene, behavior of human beings, which has some properties such as self organization and self regulation. The regulation of gene behavior is widely analyzed by Boolean network. Also the SORE (Self Organizable and Regulating Engine) is one of those algorithms. This paper does not report detailed research results; rather, it studies the feasibility of gene behavior in biocontrol systems based upon computer simulations.

Keywords

References

  1. J. S. Albus, "Outline for a theory of intelligence", IEEE Trans. SMC, vol.21, no.3, pp.473-509, 1991 https://doi.org/10.1109/21.97471
  2. J. S. Albus, "The engineering of mind", Information Sciences, vol.117, pp.1-18, 1999 https://doi.org/10.1016/S0020-0255(98)10102-0
  3. J. L. Casti, ""Biologizing" control theory: How to make a control system come alive", Complexity, vol.7, no.4, pp.10-12, 2002 https://doi.org/10.1002/cplx.10032
  4. Report of the workshop Held at the University of Santa Clara on September 18-19, 1986, "Challenges to control: A collective view", IEEE Trans. Automatic Control, vol.32, no.4, pp.275-285, 1987 https://doi.org/10.1109/TAC.1987.1104602
  5. R. Lathrop, "Intelligent systems in biology: Why the excitement?", IEEE Intelligent Systems, pp.8-13, Nov./Dec. 2001 https://doi.org/10.1109/5254.972064
  6. J. Leith et al., "Toward more intelligent annotation tools: A Prototype", IEEE Intelligent Systems, pp.42-51, Nov./Dec. 2001 https://doi.org/10.1109/5254.972083
  7. S. A. Kauffman, "Metabolic stability and epigenesis in randomly constructed genetic nets", J. of Theoretical Biology, vol.22, pp.437-467, 1969 https://doi.org/10.1016/0022-5193(69)90015-0
  8. P. P. Wang and H. D. Cheng, "SORE: Self organizable and regulating engine" A research proposal submitted to US NSF, Feb. 20, 2003, File No.: 03248-27, Fastlane
  9. P. P. Wang and J. Robinson, "What is SORE?", The 7th Proceedings of the Joint Conferences on Information Sciences, Sep. 2003
  10. P. P. Wang et al., "A study of the Two-Gene Network - The simplest special case of SORE", The 7th Proceedings of the Joint Conferences on Information Sciences, Sep. 2003
  11. P. P. Wang and H. Tao, "A Novel method of error correcting code generation based upon SORE", The 7th Proceedings of the Joint Conferences on Information Sciences, Sep. 2003
  12. P. P. Wang and J. Yu. "SORE - A powerful classifier", The 7th Proceedings of the Joint Conferences on Information Sciences, Sep. 2003
  13. K. H. Choi and M. Sasaki, "Brain-wave bio potentials based mobile robot control: Wavelet-neural network pattern recognition approach", IEEE Int. Conference on SMC, vol.1, pp.322-328, 2001
  14. R. B. Altman, "Challenges for intelligent systems in biology", IEEE Intelligent Systems, pp.14-18, Nov./Dec. 2001 https://doi.org/10.1109/5254.972065
  15. J. M. Evans et al., "Knowledge engineering for real time intelligent control", Proceedings of the 2002 IEEE Int. Symposium on Intelligent Control, Oct. 2002 https://doi.org/10.1109/ISIC.2002.1157800

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