Advanced search
1 file | 1.98 MB Add to list

A statistical approach to the identification of diploid cellular automata

Author
Organization
Abstract
In this paper, the identification problem of diploid Cellular Automata is considered, in which, based on a series of observations, the underlying cellular automaton rules are to be uncovered. A solution algorithm based on a statistical parameter estimation method using a normal distribution approximation is proposed. The accuracy of this method is verified in a series of computational experiments.
Keywords
Stochastic cellular automata, Diploid Cellular Automata, Parameter, estimation, Systems identification

Downloads

  • (...).pdf
    • full text
    • |
    • UGent only
    • |
    • PDF
    • |
    • 1.98 MB

Citation

Please use this url to cite or link to this publication:

MLA
Bolt, Witold, et al. “A Statistical Approach to the Identification of Diploid Cellular Automata.” Theory and Practice of Natural Computing, TPNC 2017, edited by C Martin-Vide et al., vol. 10687, Springer, 2017, pp. 37–48.
APA
Bolt, W., Bolt, A., Wolnik, B., Baetens, J., & De Baets, B. (2017). A statistical approach to the identification of diploid cellular automata. In C. Martin-Vide, R. Neruda, & M. Vega-Rodriguez (Eds.), Theory and practice of natural computing, TPNC 2017 (Vol. 10687, pp. 37–48). Cham, Switzerland: Springer.
Chicago author-date
Bolt, Witold, Aleksander Bolt, Barbara Wolnik, Jan Baetens, and Bernard De Baets. 2017. “A Statistical Approach to the Identification of Diploid Cellular Automata.” In Theory and Practice of Natural Computing, TPNC 2017, edited by C Martin-Vide, R Neruda, and MA Vega-Rodriguez, 10687:37–48. Cham, Switzerland: Springer.
Chicago author-date (all authors)
Bolt, Witold, Aleksander Bolt, Barbara Wolnik, Jan Baetens, and Bernard De Baets. 2017. “A Statistical Approach to the Identification of Diploid Cellular Automata.” In Theory and Practice of Natural Computing, TPNC 2017, ed by. C Martin-Vide, R Neruda, and MA Vega-Rodriguez, 10687:37–48. Cham, Switzerland: Springer.
Vancouver
1.
Bolt W, Bolt A, Wolnik B, Baetens J, De Baets B. A statistical approach to the identification of diploid cellular automata. In: Martin-Vide C, Neruda R, Vega-Rodriguez M, editors. Theory and practice of natural computing, TPNC 2017. Cham, Switzerland: Springer; 2017. p. 37–48.
IEEE
[1]
W. Bolt, A. Bolt, B. Wolnik, J. Baetens, and B. De Baets, “A statistical approach to the identification of diploid cellular automata,” in Theory and practice of natural computing, TPNC 2017, Prague, Czech Republic, 2017, vol. 10687, pp. 37–48.
@inproceedings{8583342,
  abstract     = {In this paper, the identification problem of diploid Cellular Automata is considered, in which, based on a series of observations, the underlying cellular automaton rules are to be uncovered. A solution algorithm based on a statistical parameter estimation method using a normal distribution approximation is proposed. The accuracy of this method is verified in a series of computational experiments.},
  author       = {Bolt, Witold and Bolt, Aleksander and Wolnik, Barbara and Baetens, Jan and De Baets, Bernard},
  booktitle    = {Theory and practice of natural computing, TPNC 2017},
  editor       = {Martin-Vide, C and Neruda, R and Vega-Rodriguez, MA},
  isbn         = {9783319710686},
  issn         = {0302-9743},
  keywords     = {Stochastic cellular automata,Diploid Cellular Automata,Parameter,estimation,Systems identification},
  language     = {eng},
  location     = {Prague, Czech Republic},
  pages        = {37--48},
  publisher    = {Springer},
  title        = {A statistical approach to the identification of diploid cellular automata},
  url          = {http://dx.doi.org/10.1007/978-3-319-71069-3_3},
  volume       = {10687},
  year         = {2017},
}

Altmetric
View in Altmetric
Web of Science
Times cited: